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The Opportunity

Resource Development Associates seeks a highly-motivated individual with strong quantitative and qualitative research and communication skills (verbal and written), who is committed to social and economic justice. Research Associates work as members of project teams with Program Associates and Senior Program Associates on a wide variety of issues including but not limited to evaluations, planning projects, and grant writing on juvenile and criminal justice, mental health, social services, foster care, public health and many other disciplines. The Research Associate position is an entry level position and can lead to other levels of employment.

What You'll Do

  • Participate in both quantitative and qualitative data collection and analysis including conducting interviews and facilitating discussions; creating and administering survey tools; entering, managing and QA-ing data;

  • Coordinate data requests with city, county and non-profit organizations; review datasets to ensure understanding of data structure and meaning, and to clarify assumptions, outcomes and findings, and escalate issues as needed;

  • Obtain, organize, code, clean and analyze large N datasets; run appropriate statistical tests and consider all variables for data analysis with minimal oversight;

  • Support senior staff by conducting research utilizing on-line sources, journal articles and reports, writing up summaries of researched materials, drafting reports;

  • Assist meeting facilitators and leaders of focus groups (including conducting outreach and organizing meetings, note-taking and charting);

  • Be able to understand and follow a work plan;

  • Provide administrative support including data entry, general office tasks, etc; other duties as assigned.

About You

  • 1+ years of experience using SAS, STATA, or other statistical package in a professional or academic environment is preferred

  • Competency with Word, Excel, PowerPoint and Access;

  • Spanish language fluency is highly desirable;

  • Display professionalism in the workplace and the field;

  • Strong attention to detail and time management skills;

  • Demonstrated experience in being a quick learner and self-directed.

  • Master’s degree preferred in public health, education, social sciences or related field or BA in liberal arts, political science or related field; experience may replace education


  • Generous vacation and sick leave

  • RDA sponsored life and AD&D insurance

  • 401k, with RDA discretionary match after 2 years of employment

  • 100% RDA sponsored health, dental, and vision insurance

  • RDA sponsored long and short-term disability insurance

  • Pre-tax flexible spending accounts for medical, dependent care, and transit and parking expenses

To Apply: Please send cover letter, resume, three references, and a writing sample to This job will remain open until filled. No phone calls please. RDA is an equal opportunity employer. RDA appreciates each application it receives, but due the volume of responses for positions at RDA, only candidates who best fit the needs of the organization will be contacted.

As an equal opportunity employer, RDA is committed to equity and inclusion. Candidates from all backgrounds and experiences are encouraged to apply.

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Huckleberry Youth Programs (HYP) is a community-based youth agency, providing a full spectrum of services to homeless, runaway, and other at-risk youth and families in San Francisco and Marin counties. Our programs are characterized by a commitment to community-based, collaborative services; attention to the urgency, complexity, and ever-changing nature of our clients’ needs; and recognition of the value and dignity of youth and their capacity to become healthy, productive adults.  

The Director of Research and Evaluation oversees the collection, management, and analysis of HYP’s youth services data. This individual must be able to respond thoughtfully and judiciously—drawing on expertise in data systems, social services, and program evaluation—to the needs and goals of a highly adaptive organization with deep roots in the Bay Area. HYP has long-standing programs and services, but prides itself on being responsive to changing needs within the communities it serves. The ideal candidate is able to adapt data systems in kind, recognizing when to leverage existing functionality and when structural changes are needed. Further, this position will support the organization on its continued path toward being more data informed through all levels of operations. 


  1. Oversee all aspects of client and program data for the agency, including reporting, data integrity, and security 

  2. Administer HYP’s customized Salesforce CRM for tracking client services and outcomes, including managing users, permissions, reports, dashboards, data, and metadata 

  3. Develop, maintain, and analyze evaluations for all programs with input from program management; research appropriate measures for new projects as needed 

  4. Report on program goals, outcomes, and impact to staff, funders, board, and community 

  5. Develop Salesforce metadata and thoroughly document changes to meet existing and future program and funding requirements 

  6. Build program evaluation capacity at program management and executive levels across the organization 

  7. Build and refine existing tools (dashboards and reports) to allow program staff to access and respond to aggregate data in real time to make data-informed program decisions 

  8. Integrate HYP’s data systems with external databases, including government systems, importing and exporting data as needed, to comply with grant requirements 

  9. Migrate archival data to Salesforce 

  10. Review goals and outcomes with program directors and development department annually 

  11. Provide feedback to program directors, including data interpretation support, to inform/implement logic models and theories of change 

  12. Contribute program evaluation information to grant applications 

  13. Hire and supervise consultants, data management, and data entry staff 14. Serve as HIPAA Security Officer 



  1. Advanced degree in public health, social work, psychology, human services or similar field, or equivalent experience where evaluation/research were prominent components of program 

  2. 3+ years Salesforce system administrator experience required, including customization and maintenance of custom objects 

  3. Salesforce developer experience required 

  4. 3+ years experience in social services program evaluation and research, including applied research methods 

  5. Familiarity with data requirements for grant writing, reporting, program evaluation, and compliance 

  6. Advanced data analysis skills; high proficiency with data analysis software 

  7. Advanced database development and maintenance skills, including relational data models 

  8. Excellent organizational and communication skills 

  9. Excellent formatting skills and experience creating well-structured, readable reports, presentations, and forms 

  10. Expertise in mental health, social work, youth development and/or public health research literature related to at- and in-risk youth services 

  11. Creative, team-building, cooperative approach to job performance and constructive, problem-solving orientation to all tasks in a culturally diverse environment 

Huckleberry offers competitive salaries and excellent benefits: 

EQUAL EMPLOYMENT OPPORTUNITY: Huckleberry Youth Programs is an equal opportunity employer, committed to providing equal opportunity to its employees and applicants for employment without discrimination on the basis of race; color; ethnic background; religion; gender; gender identity or expression; sexual orientation; national origin; ancestry; age; marital status; pregnancy, childbirth, or other related medical condition; disability, including HIV- related conditions; or status as a covered veteran. This policy applies to every aspect of employment, including but not limited to: hiring, advancement, transfer, demotion, layoff, termination, compensation, benefits, training and working conditions. 

FAIR CHANCE: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


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The selected candidate will work with our staff of environmental scientists, civil and mechanical engineers, safety professionals and industrial hygienists and spend approximately 75% of their time performing environmental engineering and/or industrial hygiene based assessments and monitoring involving asbestos and lead. Other types of projects that you will perform include indoor air quality investigations; sampling of air, soil and water; construction monitoring; and evaluation of buildings for hazardous materials.

Required Qualifications

  • 1+ years experience

  • CalOSHA Certified Site Surveillance Technician (CSST) or Certified Asbestos Consultant (CAC)

  • CDPH Lead Inspector/Assessor or CDPH Lead Sampling Technician Certification (preferred not required)

  • A reliable car, drivers license, and auto insurance for field work are REQUIRED

Additional Requirements

The position will include both field work and office work, and will require work on construction sites near heavy construction equipment, ability to lift up to 30 pounds and climb ladders, and enter crawl spaces and attics. The selected candidate must also be in good physical health and be able to wear respiratory and other personal protective equipment. The ability to work nights and weekends, which may occur up to 20% of the time, is also required.

Work Location:

  • Multiple locations

  • Remote/Work from home

To apply, please submit resume and cover letter to Include your resume in the body of the email. 


Important: Be sure to reference Job Code IH-1 in the subject line of your email.

SCA is an equal opportunity employer. 


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SCA Environmental, Inc. (SCA) is an established environmental consulting firm based in San Francisco, California. We have been in business over 25 years and offer environmental consulting, engineering and remediation services to private, municipal, and government clients throughout California. 

We are seeking a full-time Associate Level Environmental Geologist or Engineer to work on environmental and remediation projects. The successful candidate will manage and support projects throughout the Bay Area and Northern California, and will work with clients that include both the public and private sectors such as Public Works Departments, Ports, Transportation clients (Airports/Roads/Transit/Marine), Federal Clients, Caltrans, and private developers. The position requires excellent technical and project management in all areas of environmental site investigation, remediation, and consulting. Exceptional report writing skills and creative problem solving skills are a necessity for the position.   

Specific responsibilities of the position include but are not limited to the following:    

  • Development and management of field work, including soil, soil vapor, and ground water sampling; drilling oversight, soil logging, soil boring, monitoring well installation and well development; purging, sampling, and construction oversight

  • Provide construction oversight on environmental remediation projects, operations and maintenance of environmental remediation systems. 

  • Data interpretation and preparation of technical reports, work plans, health and safety plans, closure reports, technical memoranda, etc. ·

  • Performance of Phase I and II environmental assessments to support due diligence investigations. 

  • Coordination with and management of subcontractors and in-house field staff. 

  • Liaison between regulatory agencies, stakeholders and clients for project assignments. 

  • Supervision of personnel and assistance in staff development/training in technical areas. 

  • Ability to work in a consulting environment and handle multiple project assignments simultaneously while meeting deadlines and budgets. 

  • Understanding all aspects of project management, including scheduling, cost controls, subcontractor selection and coordination, and budget tracking. 

  • Manage client expectations and maintain routine communication with clients and regulatory agencies and stakeholders to support projects 

  • Perform client management and development to assist with the successful pursuit and winning of new environmental business in the Bay Area 

  • Preparation of proposals, and business development

  • Initiating and maintaining extensive contacts with clients in the public and private sectors


  • A Bachelor's degree in Environmental or Civil Engineering, Geology, or related discipline.  

  • Current Registration as a Professional Engineer, PE or Professional Geologist, PG is required.

  • 7+ years of progressive work experience in the environmental industry with at least 5 years of project and client management in environmental consulting

  • Must have prior soil and groundwater environmental investigation and remediation project experience.

  • Current 40 Hour HAZWOPER is strongly preferred.   

  • Flexibility and ability to work well independently and within a team environment.

  • Ability to effectively interact with clients, regulatory agencies, field operations, technical staff and subcontractors. 

  • Excellent communication skills, both written and verbal.  

  • Exceptional technical report writing skills

  • Proven track record with quality/budget/schedule tracking and scope-specific assignments.

  • Demonstrated ability to maintain clients/accounts for an extended period of time and exceptional client satisfaction record. ·

  • Proficient in MS Office Suite.   


SCA offers an excellent compensation plan, which includes a number of company sponsored benefits available to all regular full-time employees, including: vacation time, paid holidays, medical insurance, life and long-term disability insurance; and 401k. Telecommuting (partial) is possible; however, the position requires a local presence in the Bay Area.   


To apply, please submit detailed resume, cover letter, and project list to No attachments please.  

Qualified candidates will be contacted by email, and requested to provide additional information. Based on a review of these responses, shortlisted candidates will be invited for interviews.  

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Give2Asia is seeking an intern to work with the Programs Department starting January 27, 2020. Interns will work with members of the Programs team on their program development and grantmaking goals. Interns may also have the opportunity to work cross-functionally across departments (i.e. finance, marketing).

Responsibilities include:

  • Helping to prepare new proposals, custom programs, and donor reports.

  • Assisting with materials for donor correspondence and updates.

  • Conducting program research.

  • Blogging about interesting reports and events on the Give2Asia forum.

  • Researching and writing informational and educational materials.

  • Administrative tasks as needed (i.e. helping put together Board Polls, assisting in the due diligence process).

  • Report reviews and re-formatting.

  • Salesforce entry for organizations and grants.

The ideal candidate has, or is working towards, a bachelor’s or master’s degree and interest in International Philanthropy and/or Asian affairs; strong research, writing, and editing skills; computer and internet proficiency; excellent interpersonal skills; and a desire to learn.

Candidates must be available for a minimum of 20 hours per week for an approximately three-month period. Proposed start date is January 27, 2020. This is a volunteer position with a small stipend available for meals and transportation.

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SCA Environmental, Inc. is a small environmental consulting firm with two local Bay Area offices. SCA works for many different types of clients, including cities, agencies, high-rise office building owners, banks, the US military, housing developers, non-profit groups, and manufacturing companies.

We currently have the following positions available in our San Francisco office:

Entry Level Environmental Specialist - San Francisco office (Job Code: ESP2-SF)


The selected candidate will work with our staff of environmental scientists, civil and mechanical engineers, safety professionals and industrial hygienists. The successful candidate will spend approximately 75% of their time performing environmental engineering and/or industrial hygiene based assessments and monitoring involving asbestos and lead. Other types of projects that you will perform include indoor air quality investigations; sampling of air, soil and water; construction monitoring; evaluation of buildings for hazardous materials; and historical site assessments.

The position will include approximately 75% field work and 25% office work over the course of the year. Note that SCA will train you in the necessary technical areas, so you do not need to have experience in all areas. The most important things you can bring to the job are a desire to learn, an ability to be flexible, and a willingness to work hard.

Qualifications & Experience:

• Bachelor’s degree preferred (job requires high school level Sciences, all majors welcomed as well as OPT)

• Excellent communication (oral and written) skills

• Excellent organizational skills

• Proficient with MS Office (Word, Excel).

• Must be able to work independently and as part of a team

• Ability to multi-task and work on multiple projects at the same time

• Must be physically able to climb a 20′ ladder, lift up to 50 pounds, enter crawl spaces and attics, and work on construction sites near heavy construction equipment and in outside weather conditions such as wet and/or humid conditions. Work may be conducted in locations where noise, fumes, dust, toxic materials are present.

• Participation in SCA’s Medical Surveillance Program, which requires the selected candidate to maintain a current medical clearance to work and wear respiratory protection

• A reliable car, drivers license, and auto insurance for field work are REQUIRED

• Ability to work nights and weekends, which occurs up to 25% of the time, is also required.

This is an entry-level position. To apply, please submit resume and cover letter to Include your resume in the body of the email. NO ATTACHMENTS PLEASE.  Be sure to reference the exact Job Code in the subject line of your email. 

No phone calls please.  

SCA is an equal opportunity employer.

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We are a Fire Investigation firm looking for a Research Associate. We need a person who has high attention to detail, great problem solving and computer skills, is a self starter, quick learner, and can stay calm under fire. If you are a quick witted person who can handle and prioritize multiple demands when things are busy, but can also be self motivated when things are slow, we are looking for you!


  • Perform research on project requests such as: manufacture defects and recalls, building/fire/electrical codes, permits and building plans, historical weather data, geospatial data and aerial photographs.

  • Management of post-fire scene data such as photographs and diagrams.

  • Draw computerized architectural diagrams.

  • Review and edit technical reports.

  • Summarize case files, depositions, reports, etc.

  • Proactively identify project issues. Facilitate resolution and communicate on and/or elevate issues as required to insure timely resolve.

  • Provide IT and administrative support.


  • Bachelor's Degree, or a combination of education and experience.

  • Science or Engineering background strongly desired.

  • Knowledge of Microsoft Office, Google Apps for Work, Adobe Acrobat. Ability to learn new computer programs.

  • Proven ability to support several projects simultaneously and under tight schedules.

  • Excellent verbal and written communication skills. Technical writing skills are desired.

  • Acute attention to detail with a commitment to excellence and high standards.

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Job Description

Pharmacy Investigators and Consultants, a leading firm dedicated to anti-fraud deterrence programs in health care, is seeking an entry level data scientist to maintain our two proprietary, highly sophisticated data analytics tools: COPSTM (used to score health care claims for fraud) and CARsTM (an on-line portal fraud auditing). The candidate should have excellent coding skills in Python as well as HTML, jQuery, SQL, PHP and MySQL. While three to five years’ experience is highly desirable, it is not required. A Master’s Degree in Data Science, Computer Science, Statistics or related degree is required. The candidate will work closely with existing clinical and criminologist staff and combine the candidate’s coding and statistical and analytical skills and knowledge to form a dynamic and client-centric team. Specifically, the applicant must have proven experience with the following:

•experience building client-facing reports

•strong data visualization abilities and experience with Tableau

•strong SQL abilities and experience querying relational databases (e.g., Spark)

•experience analyzing data with Python or R

Salary is open based on experience, but we aim for a highly competitive level of compensation. The position is open immediately. Excellent benefits and the candidate will enjoy a team environment with highly motivated and skilled team members, all of whom have advanced degrees. While some travel to the Northwest Chicago suburbs would occasionally be required for group training sessions, this position will not require daily commuting. Because of our firm’s size, you must be able to work in the United States WITHOUT a visa of any kind.

For more information about the firm, please see:



Company Description

Fast growing health care company targeting fraud - how cool is that?

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As NGFCU’s data scientist / data analytics manager, you will be responsible to identify and implement data analytics applications for the credit union by (a) collaborating with business leaders to meet their needs and (b) discovering new ways to take advantage of the data through your own investigations. You will be responsible to create, through the selection and deployment of vendor capabilities, the integrated data sources that will enable the fulfillment of these needs, as well as the data visualization and dashboarding techniques necessary to exploit the integrated data warehouse. You will oversee “superuser” data application developers and business intelligence analysts on both a centralized basis and across the various departments / data users, and/or vendor application providers. You will implement data governance and data management protocols in support of these objectives. The ideal candidate will be a leader and a curious and creative problem solver that seeks out the toughest challenges. You will have a passion for data mining, predictive analytics, business intelligence, and the improvement of decision-making processes. You will have the ability to see solutions in large data sets and to rally a team of data analysts and the organization at large to implement high-quality, data-driven decisions. You will have the ability to translate complex analytical and technical concepts to non-technical employees. Skills & Experience Qualified candidates must have a Bachelor’s Degree. A Master’s degree in applied math, statistics, computer science, data science or related fields is highly desired. Five or more years of experience in the field required, ten+ years preferred. Proficient knowledge of the tools and techniques required to achieve the organization’s data analytics objectives and a proficient level of business acumen in the financial services industry. Must be comfortable interfacing with senior management and/or non-technical members of the team. Must have excellent written and verbal communication and strong problem resolution skills, advanced technical skills and strong project management capabilities. Northrop Grumman Federal Credit Union (NGFCU) is a member-owned financial cooperative that exists to provide efficient, convenient, attractively priced financial products and services to our members. We have been a leader in the industry for over 70 years, and we pride ourselves on the excellent service and competitive products we offer to loyal members. Launching your career with NGFCU means being a valued team member at one of the strongest credit unions in the country. At NGFCU we understand that our employees are one of our most valuable assets. We offer a total compensation program that focuses on providing work-life balance and supports the overall needs of our team members. Salary and Perks: Competitive base salary structure Employer matching 401k plan and additional employer contribution Paid Weekly Health and Welfare: Medical insurance plans including HMO and PPO options Dental and Vision Plan options Flexible Spending Account options Company-paid Life Insurance Short and Long-Term Disability Plan Generous Paid Time Off and Paid Sick Leave Program Average of eight paid holidays per year If you are interested in joining the NGFCU team, please submit a resume and a cover letter to NGFCU is an Equal Opportunity Employer Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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Job Description

Roles: Python Developer / Data Science Developer / Data Scientist

Experience with Pandas or Numpy (Data Science Package) is a Must

Location: McLean, VA

Must Have:

  • Experience in Python (with pandas, numpy, scifi preferred) and SQL

  • Experience with R-Programming.

  • Experience with AWS as a nice to have.

  • Outstanding problem solving skills

  • Excellent communication skills

  • Experience in automating business operations

  • Experience in agile environments and comfort with quick iterations

  • Intellectual curiosity to pursue the unknown and to continuously learn

  • Thrives in a fast-paced environment and willing to shift priorities seamlessly Strong desire to build products that will save lives and change the course of cancer

Good to Have:

  • Experience with data science and the major Python data science packages, such as numpy and pandas

  • Experience as a Product or Project Manager

  • Experience with the structure and usage of REST API's


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Siri - Data Scientist, Data Organization

Seattle,Washington,United States

Not Available

  • You think about language and complex systems in terms of statistical distributions and have a big enough toolbox to know how to find patterns in data, identify targets for performance, and identify sources of variance about those targets.

  • You use good judgment balancing art and science when visually communicating information (e.g. Tableau, Superset, ggplot, D3, matplotlib, plotly/bokeh).

  • You have engineered information out of massive and complex datasets (e.g. Hive, Spark, Druid, Elasticsearch/Solr).

  • You have proven experience with at least one programming language (e.g. Python, R, Scala) and are comfortable developing code in a team environment (e.g. git, notebooks, testing).

  • You are self-motivated and curious with demonstrated creative and critical thinking capabilities and an innate drive to improve how things work.

  • You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize!

  • You have excellent verbal and written communications skills and experience in influencing decisions with information.

  • Your academic background is in a quantitative field such as Computer Science, Computational Linguistics, Mathematics/Statistics, Engineering, Economics or Physics. Advanced degree preferred.


Partner with multiple language-understanding and product engineering teams to understand systemic behavior of Siri and develop methods for evaluating component and model interactions, bias propagation, and hierarchical optimization. Define metrics that we will measure our efforts against as well as defining the instrumentation required for yielding sufficient data. Communicate with and advocate to a wide audience of engineers, managers and executives to inform decisions on how Siri's capabilities evolve. Build analytic, visualization, and other information products with a drive to automate and scale the insights available to science and engineering teams. Perform exploratory data analyses to enrich our mental models about Siri usage and identify new questions to pursue. Extract information from structured and unstructured data coming from Siri's computational architecture. We are looking for people with a track record in building insights and relationships to affect decisions. Join us, and impact hundreds of millions of customers across billions of their interactions with a personal, intelligent assistant who is available on iPhone, iPad, HomePod, Watch, TV, and Mac across more than 30 languages!

Education & Experience

Additional Requirements

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

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Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant at (Opens in a new window) at .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. at Learn more at (Opens in a new window) at .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youre applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance at guidelines at (opens in a new window) at applicable in your area.

Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program at (Opens in a new window) at .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy at Learn more at (Opens in a new window) at .

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Management of our highly complex biopharmaceutical business involves collection, analysis and reporting of massive amounts of data. Lack of consistency, structure and tools for how we manage data leads to slow, inefficient and sometimes ineffective decision making.

The Senior Data Scientist will provide information content analysis and applied semantic modeling support to Operations Data Strategy, an initiative that will increase Amgens agility by improving the way Amgen runs and uses data to power analytics, gain insights and drive decision making within Operations. We are seeking a highly motivated individual who will elucidate a comprehensive business information model for Operations that will shape the target semantics for the data fabric and drive data governance priorities by applying connected data approaches to strategic value-realization opportunities. The ideal candidate will be an outstanding, pragmatic information modeler able to partner effectively with other business subject matter experts, ontology engineers, data scientists, data architects, and data engineering teams to bring data fabric solutions to life. The position offers an outstanding opportunity for durable impact by transforming how data connect, flow, and generate value and insights across end to end business processes spanning Manufacturing, Supply Chain, Process Development, Engineering, and Quality.

Role Responsibilities:

  • Elucidate, codify, and depict the Operations end to end business ontology, a system-independent conceptual information model and glossary that defines data connectivity across all of Operations and semantics for the data fabric

  • Develop roadmap, drive awareness, and lead execution of the application of the business ontology, semantic technologies, and knowledge graphs toward strategic value-realization opportunities

  • Lead operational change execution for adoption of shared data assets that eliminate redundancies and promote consistency in partnership with reference data, master data, and data architecture teams

  • Partner with business subject matter experts, data scientists, and other ontology engineers to understand and detail local and multi-functional semantics

  • You will use the business ontology to identify maturity gaps and inform data governance priorities

  • Identify data connectivity gaps, potential solutions, and opportunities for reference data standardization

  • Evangelize approach and value of a semantically connected data architecture with data generators across Operations

Basic Qualifications:

Doctorate degree and 2 years of Information Systems experience


Masters degree and 6 years of Information Systems experience


Bachelors degree and 8 years of Information Systems experience


Associates degree and 10 years of Information Systems experience


High school diploma / GED and 12 years of Information Systems experience

Preferred Qualifications :

  • Broad understanding of the biopharmaceutical and small molecule pharmaceutical development, manufacturing and supply chain space

  • Deep expertise in information modeling, ontology design, and data architecture

  • Visceral, applied appreciation for semantic challenges in data integration

  • Ability to work across interpersonal domains to understand and address the underlying business needs

  • Ability to develop positive relationships and drive coordinated adoption of new capabilities or business processes

  • Innate big-picture and abstraction skills that enable identification of commonalities across disparate domains and processes

  • Outstanding interpersonal skills, including a natural ability to convey complex technical topics to diverse audiences

  • Excellent critical and analytical thinking with solid attention to detail

  • Proficiency with semantic technologies, Linked Data, OWL, knowledge graphs, graph databases, and other connected-data enabling capabilities

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology.

Amgen focuses on areas of high unmet medical need and leverages its expertise to strive for solutions that improve health outcomes and dramatically improve peoples lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the worlds leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.

Join Us

If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of biotechnology with the top minds in the field, you'll find it at Amgen.

Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, kidney disease, rheumatoid arthritis and other serious illnesses.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other but compete intensely to win. Together, we live the Amgen values as we continue advancing science to serve patients.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

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Job Description

AWM Smart Shelf is reinventing retail and looking for smart, talented people to help build on our current and future data and analytics platforms and pipelines. Our solutions encompass a wide range of data like:

  • Real-time computer vision and deep learning that enables an understanding of what shoppers and workers are doing (such as movement, actions, and product selection)

  • AWM Frictionless™ Shopping (cashierless checkout)

  • Demographic data captured via anonymous facial analysis

  • Ads / video playback and effectiveness

  • Product placement and pricing

The ideal candidate will have the ability to use modern techniques to:

  • Understand and interpret data, reaching meaningful conclusions

  • Predict optimizations both in real time and via big data processing

  • Handle large and rapidly growing data sets

Job Duties:

  • Manual Validation of AI models and data pipelines

  • Performing Ad-hoc analysis on proprietary datasets for internal and external stakeholders

  • Performing exploratory analysis on data to find trends

  • Annotating proprietary datasets

  • Training and evaluating various machine learning models

  • Contributing to the development and maintenance of data pipelines (in SQL, Python, and others)

Required Skills:

  • Python

  • SQL

  • Machine learning (Supervised and Unsupervised)

  • Deep learning frameworks (e.g. Keras, Tensorflow, PyTorch, etc.)

  • Statistics (solid understanding)

  • Experience cleaning datasets

  • Git, or other version control framework

  • Strong problem-solving skills

  • Undergraduate or higher degree in data science, statistics, computer science, or other relevant areas

Skills Which Are A Plus But Not Required:

  • Understanding of time series / sequence analysis

  • PowerBI, Tableau, or other dashboarding software

  • Understanding of, or experience with, retail data and environments

  • Experience distilling and communicating insights to people that aren’t data scientists in a way that can be readily understood

  • Hadoop / Spark or another mainstream big data platform

  • Understanding of scrum / agile development processes

What We Offer

  • Paid vacation and sick time

  • Health benefits

  • A dynamic environment where you can make an impact using latest technologies

  • Opportunity for growth

  • 401k plan

  • Potential for employee stock option plan participation

Company Description

Please visit to learn more and watch videos of our solutions.

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We are growing our Data Science Instructional team at Galvanize. Our Instructors train technical professionals with programming experience to solve data science problems utilizing innovative educational techniques. Were looking for passionate educators and practical problem solvers with demonstrated flexibility and curiosity.

We are seeking a Data Science Instructor in Phoenix. Join us in building the world's hub for education in data science and data engineering.


  • Deliver lectures and tutorials on scientific Python, SQL, probability, statistics (Bayesian and frequentist), machine learning and data engineering.

  • Lead / assist day-long sprints, maintaining a strong presence in the classroom and helping other instructional staff.

  • Deftly and patiently field student questions and provide feedback in lectures and office hours.

  • Utilize student feedback and experimentation to continuously improve teaching and assessment methods.

At Galvanize, we strive to provide meaningful professional development opportunities to all of our employees. Here are just a few of the ways you will continue to grow and level-up as a data scientist and a teacher:
Theres no better way to learn than to teach! Youll be amazed at how much youll develop skills you thought you were already an expert in just by helping students and planning lessons.
Opportunities to work with and learn from other data science and full stack instructors in a highly collaborative environment.


  • Industry experience in a data scientist or software engineer role.

  • Master's or PhD in a quantitative discipline such as engineering, statistics, or mathematics

  • Strong understanding in the topics we teach: scientific Python, probability, statistics (Probability, A/B Testing, Bayesian methods, Regression Methods, Time Series), SQL, machine learning (Decision Trees, Random Forest, Boosting, Support Vector Machines, Clustering, Natural Language Processing, Recommenders, Graphs), data engineering (Hadoop and MapReduce), and data at scale ( AWS).

  • For more details on the program visit:

  • Outstanding communication skills.

  • Experience teaching a quantitative subject preferred.

Galvanize provides equal employment opportunities (EEO) to all employees and applicants for employment. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

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We’re hiring data scientists for our Fortune 500 media & entertainment client. They are looking for data scientists to join their Engagement & Insights team and work collaboratively on insights across a variety of programs and projects including customer engagement, advertising, and promotions for their Consumer Experience team.

The ideal candidate has a Bachelor’s degree, 3+ years of experience in insights and is a good storyteller that can weave insights into an engaging presentation. Must have experience working with Python, SQL and R.

Location: Los Angeles


Analyze program data, website traffic and event data, and perform customer experience research to understand prospect flow and triangulate problem areas

Develop deep customer understanding, employ a range of quantitative and qualitative research approaches plus big data techniques that are both innovative and pragmatic

Document and analyze the customer journey from awareness to acquisition, applying knowledge of key segments to identify psychological, informational, and operational customer needs

Discover customer insights by analyzing multiple data sources. Identify and source both relevant internal and external data, and help utilize the necessary tools. Focus on speed to deliver consumer insights quickly as needed.

Deliver insights-driven growth for the short- and long-term. Develop simple tools for the consulting partners and provide training in how to use them to extract meaningful insights from complex data sets.



Required Experience:

3+ years of experience in analyzing large volumes of behavioral data (web, mobile, SaaS)

3+ years experience with Python and SQL. Experience with Amazon Redshift a plus.

3+ years experience using statistical software (R preferred)

Bachelor’s degree in Data Science, Mathematics, Computer Science, Engineering, Statistics, Economics, or comparable. Master’s degree a plus



Other Attributes:

Passion for customer-centric solutions to deliver best in class customer experience

Strong analytical approach to problem-solving and presenting recommendations

Understand/interpret the expressed and implied needs of the customer

Ability to handle complex and ad hoc requests

Manage multiple cross-functional projects at one time

Oversee and approve requirements and test plans for assigned projects


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Sema4 is a patient-centered health intelligence company founded on the idea that more information, deeper analysis, and increased engagement will improve the diagnosis, treatment, and prevention of disease. Sema4 is dedicated to transforming healthcare by building dynamic models of human health and defining optimal, individualized health trajectories, starting in the areas of reproductive health and oncology. Centrellis™, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all. Sema4 is searching for a talented Data Scientist to join our Disease Discovery team in Stamford, CT. The candidate will work in a multi-disciplinary team in Sema4 and contribute significantly to our efforts to systematically study complex human diseases through the integration of genomic, genetic, epigenetic, proteomic, literature and clinical phenotypic data into network models or other machine learning models. The goal of this research is to identify and model mechanisms underlying human diseases using computational models such machine learning, deep learning, or other artificial intelligence techniques. Such models will be used to guide drug target discovery and prioritization, to develop combination therapies, to reposition existing drugs, to match individual patients to the best therapies, and more. Responsibilities Development of novel computational models for integrating diverse types of data into molecular network models for diseases. Develop novel platforms and pipelines to identify novel therapeutic targets, and to discover biomarkers for drug response, patient stratification. Development of novel statistic models for comparing diverse datasets or network models. Analyze preclinical and clinical genomic data including whole genome, whole exome, RNA-Seq (single cell and bulk), and epigenetic data. Expertise in statistical methodologies such as predictive modeling and inference, machine learning methods, mixed effects models, multivariate analysis, etc. Expertise in integration of genetic, genomic and proteomics data analysis, metabalomic and microbiome including raw data processing and modeling of processed/normalized data, and familiarity with state of the art pipelines. Computational models for predicting disease risk or drug responses which integrate EHR and genetic data. Development of computational models for rational drug combination design Advanced hands-on knowledge of R and/or Python. Execute RWD analysis using EMR data, registry data and publicly available data sources. Integrative analysis of structured and unstructured EMR data to develop predictive models for treatment response and clinical outcome. Requirements: Ph.D in quantitative sciences – Computer Science, Electronic Engineering, Physics, Mathematics, Statistics, Computational Biology or Bioinformatics 2+ years in analyzing large scale genetic and genomic data 2+ years in Computational Analysis of EMR data 4+ years in R, Python and Perl 4+ years SQLStrong track record in methods developmentExperience in machine learning preferred A track record of leading clinical/translational research projects using rigorous statistical and computational approaches Outstanding programming skills in R, Python, and/or perl, extensive experience in SQL Strong knowledge of Unix shell scripting Prior experience in analyzing genomic and genetic data preferred Broad knowledge of cancer biology, immunology, cancer drug discovery preferred Strong ability to collaborate with teams of research scientists, bioinformaticians, software developers, and external collaborators

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Ready to take your 4+ years of Data Science skills to lead the data science digital marketing modeling efforts of an insurance company bursting with rich, diverse and well-organized data sources? You will work within a highly collaborative team to develop models and methods to manage digital marketing attribution that creates REAL impact and drives decision-making at the highest level. Requirements • 4+ years of model development experience (Python or R) • Digital multichannel marketing attribution experience • Advanced degree in a quantitative field prefered (Phd bonus) • Excellent communication and demonstratable leadership skills

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Principal Data Scientist (Team Lead, Neural Networks, Online Shopping Platform) We are looking for a Principal Data Scientist (Team Lead, Neural Networks, Online Shopping Platform) to join our award-winning company is setting out to build the world's most trusted and transparent marketplace after being voted the #1 most popular online shopping platform within the USA. We are searching for a Principal Data Scientist to help push forward their globally recognized online marketplace platform whose vision is to create the optimal shopping experience through the use of ML & complex data analytics; used by millions of customers per day. Based in Cambridge, this company uses leading proprietary technology, search algorithms, and innovative Machine Learning to serve its nationwide consumer-base. As a Principal Data Scientist, you will be building robust machine learning models (you do not need to worry about anything else – as there are teams for data processing, implementation, etc!) which will be able to digest and act on hundreds of thousands of micro-decisions from insights gained from highly voluminous amounts of data… in a matter of seconds. We can offer a Principal Data Scientist : A chance to be in charge of your own projects and products from the ground up. A culture of diversity, creativity, and inclusivity – all working together under one shared vision. Intellectual challenges that you would not experience in most companies. No corporate bureaucracy! Key Skills: Data Science, Data Scientist, Principal Data Scientist , Leader, General Machine Learning, Statistical Modelling, Regression, Supervised, Unsupervised, Optimization, Recommendation Systems, Deep Learning, Reinforcement learning, NLP, Computer Vision, Experimental Design, Python, R, Math, Mathematics, Research & Development, Business, Strategy, Reports, Stakeholders, decision making, roadmapping, Product, Metrics.

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This position of will interact with a variety of functions across the business unit including IT, Operations, Finance, Business Intelligence and Project Management. ESSENTIAL DUTIES & RESPONSIBILITIES: • Understand the sources of key data structures and their multi-dimensional relationship • Build, validate, and maintain Operations Research (OR), Simulation and AI (Machine Learning (ML) /Deep learning ) models • Provide thought leadership in analytics and modeling • Provide quantitative research and analysis for identifying new business opportunities • Synthesize findings, prepare presentations and assist in presenting findings to all levels of management • Provide framework/methodology for measurement and feedback mechanism for models • Collaborate with other team members, IT and business partners as necessary • Be accountable for the documentation of supply chain process design opportunities Desired Skills and Experience 1) Knowledge, skills & abilities: • Proven experience in areas of optimization, statistics and/or machine learning • Preferred knowledge of R, Python, and/or other programming languages • Heavy experience in use of Excel, SQL and other database querying tools • Exceptional quantitative skills with expertise in data manipulation • Strong conceptual and creative problem-solving skills • Ability to work with considerable ambiguity • Ability to learn new and complex concepts quickly • Demonstrated initiative and ability to work independently • Ability to build strong, collaborative working relationships with broad cross section of business partners • Strong listening, oral and written skills 2) Minimum educational level: • B.S. or Supply Chain, Operations Research, Industrial Engineering, Statistics, Math, or related field 3) Minimum experience: • 2+ years of total work experience in Data Science/Advanced Analytics • Strong knowledge of Python and SQL

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Are you a data science leader with over 15 years of industrial experience? Do you have experience of managing large teams (50 people+)? Did you start/work as a hands-on contributor to data science projects earlier in your career? One of the worlds leading management consultancies is seeking to make a senior appointment. They are seeking to recruit a Principal Data Science Lead. You will be responsible for leading their primary data science, machine learning and analytics client services function. You will have direct managerial responsibility for their senior management team and indirect ownership of over 50 people. This group work on delivering AI programmes for global Fortune 500 organisations. You'll have... Bachelors degree plus 15+ years of industry experience (data science, machine learning, customer insights, analytics) Or Masters degree plus 12 years of industry experience And 3+ years managing groups/teams of 50+ people Experience shipping enterprise-scale data products Python and SQL coding skills/code review skills Experience with Docker and Git

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Job Description: Direct Response Data Scientist with expertise in customer acquisition statistical modeling analytics in R and Python needed for a full-time role with Decision Sciences team at an innovative professional services firm to the financial services industry. Will use advanced statistical techniques to optimize direct-to-consumer targeting strategies – designing and executing tests and forecasting campaign performance and analyzing results. Will interpret data and communicate findings to stakeholders. Requirements: Advanced degree in data science, statistics, or similar 5+ years relevant industry experience – using statistical models to predict response to direct-to-consumer marketing campaigns – preferably within the financial services industry Expertise in statistical analytics tools – preferably R and Python Strong collaborative and communication skills Interested applicants may apply via LinkedIn or by emailing a resume to please specify job # 23700

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Are you a data science leader with over 15 years of industrial experience? Do you have experience of managing large teams (50 people+)? Did you start/work as a hands-on contributor to data science projects earlier in your career? One of the worlds leading management consultancies is seeking to make a senior appointment. They are seeking to recruit a Principal Data Science Lead. You will be responsible for leading their primary data science, machine learning and analytics client services function. You will have direct managerial responsibility for their senior management team and indirect ownership of over 50 people. This group work on delivering AI programmes for global Fortune 500 organisations. You'll have... Bachelors degree plus 15+ years of industry experience (data science, machine learning, customer insights, analytics) Or Masters degree plus 12 years of industry experience And 3+ years managing groups/teams of 50+ people Experience shipping enterprise-scale data products Python and SQL coding skills/code review skills Experience with Docker and Git

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Are you a data science leader with over 15 years of industrial experience? Do you have experience of managing large teams (50 people+)? Did you start/work as a hands-on contributor to data science projects earlier in your career? One of the worlds leading management consultancies is seeking to make a senior appointment. They are seeking to recruit a Principal Data Science Lead. You will be responsible for leading their primary data science, machine learning and analytics client services function. You will have direct managerial responsibility for their senior management team and indirect ownership of over 50 people. This group work on delivering AI programmes for global Fortune 500 organisations. You'll have... Bachelors degree plus 15+ years of industry experience (data science, machine learning, customer insights, analytics) Or Masters degree plus 12 years of industry experience And 3+ years managing groups/teams of 50+ people Experience shipping enterprise-scale data products Python and SQL coding skills/code review skills Experience with Docker and Git

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Do you dream of what cars of the future will look like when you combine them with connectivity, a smartphone, and cloud services? Can you imagine uniting those dreams with a company that has the skills and relationships to make that a reality? If so, Telenav wants you! At Telenav, we believe the car is at the beginning of a massive innovation wave that mirrors what happened on the smartphone several years ago. Building on our long history of mobile and in-car navigation software and services, we are on a mission to make people’s lives less stressful, more productive and more fun when they’re on the go. We’re looking for a highly motivated Staff Data Scientist to join our growing Data Science team. Responsibilities: Design, model, validate and test algorithms by applying Machine Learning techniques against various real-world data sets including behavioral data。 Improve existing products and create new ones by applying advanced algorithms and techniques. Help develop road maps for application, assist with scoping and implementation for such products. Analyze and optimize code for efficiency and performance Take the model into production with A/B testing, measure the performance and build feedback loop to keep on improving. Required Experience: Master or PHD degree in data science, computer science, statistics or machine learning. 7+ years of relevant experience. Solid knowledge and hands on experience of various machine learning techniques and key parameters that affect model’s performance, including deep learning model, e.g. RNN, LSTM. Strong in Python programming. Rich Experience in using libraries/frameworks e.g. scikit-learn, tensorflow, keras, torch, etc. A strong passion to perform empirical research & analysis of high-dimensionality spatial and temporal data for answering hard questions. Experience with setting training and inference pipelines Desired skills or experience: Understanding of the internals of the state-of-the-art Machine Learning techniques. Familiarity with Deep Learning, Natural Language Processing. Experience with deployment or running machine learning algorithm on embedded device. Programming experience in Java or C++. Familiarity with building cloud native applications in AWS About Telenav Telenav is a leading provider of connected car and location-based services, focused on transforming life on the go for people before, during, and after every drive. Leveraging our location platform, we enable our customers to deliver custom connected car and mobile experiences. To learn more about how Telenav’s location platform powers personalized navigation, mapping, big data intelligence, social driving, and location-based advertising, visit

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Who We Are: Affect X is an affective computing company guiding consumers to enhanced emotional states and better experiences. Affective computing is an emerging, interdisciplinary field that uses sensors and machine learning to recognize and modulate a person’s cognitive and emotional state. We apply this framework to address a central problem in a rapidly growing, emerging market. Value Proposition: This position is a highly entrepreneurial role. You will: Have the opportunity to identify, experiment and iterate on innovative solutions in a complex data environment Contribute to a fast-paced startup, be highly motivated to learn new technology and devise interdisciplinary solutions Have the opportunity to develop truly novel solutions with a direct impact on business growth How You Fit: We are looking for candidates with: Creative problem solving abilities and a self-motivated, collaborative approach A degree in statistics, mathematics, computer science or a related quantitative field Efficacy in data manipulation using Python An ability to understand how their work fits within the larger business context We encourage applicants with an interest in these topics to reach out to us with their resume and any other salient material at with the subject line ‘Data Scientist Role’.

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Data Scientist Leading TV advertising company seeking a Data Scientist to help redefine marketing analytics for tv and streaming video media buying. Candidate will use diverse data sets and technologies to produce production quality, scalable, automated, solutions to solve challenging problems, create innovative applications from the ground up and understand exactly what it takes to create a reliable online experience for their customers. Location: Santa Monica, CA Keywords: Data Science, Machine Learning, Python, PANDAS, SQL Description Manage multiple analytics projects to deliver end-to-end solutions, including: (1) development of KPIs; (2) development of new insights through the combination of datasets; and (3) maintenance of ongoing analytics datasets. Automate data-driven tasks; design processes that require zero intervention. Explore algorithms to help guide expansion opportunities into new lines of business Work closely within a team of highly experienced, analytically-inclined professionals Work cross-functionally within the organization to deliver integrated business solutions Qualifications Master’s in a technical field (e.g., Computer Science, Mathematics, Physics, etc.) 3+ years of Data Science experience in a technology environment Strong background designing and developing analytics capabilities Intermediate to advanced experience in Data Manipulation Software (e.g., SQL, Python, Pandas) send MS Word attached resume to Ilana Raz, | For more opportunities, please visit

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The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with CEO to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

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Job Description

Job Description:
We are looking for highly-motivated and highly-skilled individuals who can take ownership of the development and deployment of analytics solutions using various data science techniques including statistics, econometrics, machine learning, mathematical optimization, visualization, and geospatial mapping. You will work closely with business stakeholders and other project team members to support Ford Commercial Solutions and/or Ford Customer Service Division. You will acquire deep understanding of business opportunities in these areas and face the challenge of addressing them with analytics solutions. Primary responsibilities will also include (i) working collaboratively with cross-functional teams while independently performing tasks as needed; (ii) identifying data sources; (iii) processing and cleaning data, (iv) developing analytics solutions such as clustering, regression, econometric forecasting, optimization, visualization, and mapping, (v) deploying analytics solutions in business systems or analytics platforms for business use We are looking for people who share our passion in helping transform Ford as we prepare for the future shaped by autonomy, smart mobility, and electrification.

Skills Required:
Minimum Requirement (With Bachelor's Degree)
• 3+ years of experience using statistical software and programming languages like Python, R, CPLEX, Matlab, Java, Hadoop, AWS, Tableau, QlikView, QlikSense, and Alteryx
• 3+ years of experience in large-data processing and modeling using tools like Scala and PySpark Preferred Candidate (with M.A. or Ph.D.)

Experience Required:
• 3+ years of data science experience in vehicle telematics, vehicle servicing, fleet management, manufacturing, product development, supply chain, logistics, service engineering, geospatial mapping Preferred Candidate (with M.A. or Ph.D.)
• 1+ year of data science experience in vehicle telematics, vehicle servicing, fleet management, manufacturing, product development, supply chain, logistics, service engineering, geospatial mapping

Education Required:
• Bachelor’s degree in industrial engineering, operations research, computer science, mathematics, statistics, economics, or related quantitative field, geographic information system

Education Preferred:
• M.A. or Ph.D. in industrial engineering, operations research, computer science, mathematics, statistics, economics, or related quantitative field, geographic information system

Company Description

About Kyyba:
Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.
At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.
All applicants must submit to background check and drug screening.
Kyyba is an Equal Opportunity Employer
Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply
Job Description OR link

Major Medical Coverage, including dental and vision
Term life
Short-term disability
Long-term disability
Pre-paid legal plan
Identity theft plan
Medical and dependent FSA
Paid time off
Paid holidays
Work-visa sponsorship
Opportunity for advancement
Long-term assignment with opportunity for hire by client

• An INC 5000 company for 10 years
• Corp! Michigan Economic Bright Spots
• Crain’s Detroit Business Top Staffing Service Companies in Detroit
• TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions
• Best of MichBusiness winner in HR Wizards & Partnerships
• Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest
• 101 Best & Brightest Companies to Work for in Michigan

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Summary This role is in the IT Data Team which is responsible for providing industry leading machine learning-based tools or processes to the Company which provide competitive advantage and efficiency. Responsibilities Uses machine learning to improve and automate processes in SMS proprietary tools Applies data mining techniques to make recommendations based on data and communicates results through insightful visualizations, reports and presentations Improves the dataset (or data repository) quality by cleaning the company’s data and collecting information from new sources Translates advanced business analytics problems into technical approaches in diverse domains such as vendor recommendation, work scheduling and technician dispatch, etc. Collaborates with different teams to develop, refine, and scale procedures and workflows. Fosters a positive team environment Ensures confidentiality of internal and external data Performs ad-hoc projects and other duties as assigned Professional Skills Verbal Communication Proficient Written Communication Advanced Teamwork Proficient Relationships Proficient Negotiation Proficient Organizational Awareness Proficient Learning Agility Advanced Analysis Advanced Problem Solving Advanced Process Orientation Advanced Prioritization Advanced Role Specific Skills Strong mathematical and statistical skills. Programming Languages: SQL, Python Understanding of ETL tools and database architecture People Management Skills This is a sole contributor role Qualifications Minimum Qualifications Bachelor's degree in Math, Physics, Statistics, Computer Science, or with equivalent professional experience. Experience using a machine learning framework e.g. scikit-learn, torch or similar Experience with a statistical software (e.g. R, SAS) 3+ years of experience as a data scientist, working closely within a business Other Relevant Qualifications PhD or M.S. in related fields. Experience with natural language processing. Advanced knowledge of Data Warehousing and BI best practices Experience with big data tools such as Spark, Hadoop, etc. Experience with Tableau or Superset. ­­­­­___________________________________________________________________________________ Please note, this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities, and schedule may change at any time with or without notice. SMS Assist is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.

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Our client, a fast-growing leader in the Insurance market is in immediate need of a high performing data scientist to assist their analytics efforts. You will be joining one of the most sophisticated teams in the industry and enjoy working on a diverse array of projects that will make a measurable impact on the business. What you will be doing Employing state of the art predictive modeling techniques, you will develop new forecasts and identify opportunities to measure, predict, and improve the company’s operations and improve results. Projects could include claims effectiveness and satisfaction, customer retention, customer LTV, expense reduction, and much more. You will of course have the opportunity to communicate your findings and recommendations to cross functional teams and leadership. What you need to win · Advanced degree with a Quantitative focus like Math, Stats, Econ., Finance, Physics, etc. or a blend of a BS and equivalent experience may be considered. · Proven ability to extract and scrub data from a variety of structured and unstructured sources. · Solid understanding of best practices in data transformation, imputation, model selection, evaluation, and tuning. · Proficiency with any or all of the following: Python, SQL, Tableau, Alteryx, or SAS. · It will be extremely helpful to have experience with deep learning neural networks and frameworks such as TensorFlow, Keras, etc. · Familiarity with cloud computing environments such as AWS, Azure, or Google Cloud preferred · Property & Casualty Insurance experience or understanding preferred. · And obviously you should be a naturally critical thinker that is strong with analysis, intellectually curious, and a quick learner. What else? Client will consider extremely well qualified talent requiring an H1B transfer Client cannot provide relocation support so you must be local to the greater Boston area

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Roles & Responsibilities: Proficiency in data science delivery methodologies Responsible for key activities and deliverables from pre-discovery to proposal generation, delivery and value realization Educate stakeholders on Data Science methodology to supports the development of appropriate goals and objectives Understanding of Data Science solution architectures, databases, programming tools and visualization technologies Requirements: Bachelors in Engineering, Statistics or Computer Science with 5 or more years' related work experience or a Master's degree with typically 3 or more years' or a PhD degree or an equivalent combination of education and experience Understanding of CROs and/ or Health Systems and scientific & clinical data/terminology, & the drug development process A tolerance for organizational complexity and work collaboratively Excellent problem-solving skills Computer coding skills: in R, R-Shiny, JavaScript, and Python

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