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Full Time Decision Scientist Jobs (NOW HIRING)

... and decision science to provide winning actionable insights assisting our financial services ... Madison, WI Full Time (Direct Hire) • 5+ Years of total experience and 2-4 years of in-depth and ...

... and decision science to provide winning actionable insights assisting our financial services ... Madison, WI Full Time (Direct Hire) 5+ Years of total experience and 2-4 years of in-depth and ...

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... The Applied AI team researches and develops advanced algorithms that power strategic decision ...

Staff, Data Scientist (Pricing)

Noel, MO · On-site

$110K - $220K/yr

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... The Applied AI team researches and develops advanced algorithms that power strategic decision ...

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... The Applied AI team researches and develops advanced algorithms that power strategic decision ...

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... The Applied AI team researches and develops advanced algorithms that power strategic decision ...

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... The Applied AI team researches and develops advanced algorithms that power strategic decision ...

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... The Applied AI team researches and develops advanced algorithms that power strategic decision ...

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... The Applied AI team researches and develops advanced algorithms that power strategic decision ...

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... The Applied AI team researches and develops advanced algorithms that power strategic decision ...

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... The Applied AI team researches and develops advanced algorithms that power strategic decision ...

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... The Applied AI team researches and develops advanced algorithms that power strategic decision ...

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... The Applied AI team researches and develops advanced algorithms that power strategic decision ...

Showing results 21-40

Full Time Decision Scientist information

How do decision scientists typically collaborate with cross-functional teams to drive data-informed decisions?

Decision Scientists frequently work alongside cross-functional teams such as product managers, engineers, and business analysts to translate complex data insights into actionable business strategies. This involves not only conducting rigorous statistical analyses and building predictive models, but also communicating findings in a clear, accessible way that stakeholders can understand and act upon. Effective Decision Scientists facilitate data-driven decision-making by integrating their technical expertise with business context, often participating in regular meetings, brainstorming sessions, and workshops to align on goals and priorities. This collaborative approach helps ensure that data-driven solutions are both technically sound and aligned with organizational objectives.

What is a full time decision scientist?

Full Time Decision Scientists are professionals who use data analysis, statistical modeling, and machine learning techniques to help organizations make informed business decisions. They work with large datasets to identify trends, generate insights, and support strategic planning. Their role often involves collaborating with cross-functional teams to solve complex problems, optimize processes, and drive business growth. Decision Scientists typically have strong backgrounds in mathematics, statistics, computer science, or related fields, and are skilled in programming and data visualization tools.

What is the difference between Full Time Decision Scientist vs Data Analyst?

AspectFull Time Decision ScientistData Analyst
Required CredentialsTypically requires a master's or PhD in data science, statistics, or related fieldsBachelor's degree in data science, statistics, or related areas often sufficient
Work EnvironmentFocuses on developing predictive models, advanced analytics, and strategic decision-makingInvolves data cleaning, reporting, and basic analysis to support business operations
Employer & Industry UsageCommon in finance, tech, and consulting firms for strategic insightsWidely used across industries for operational reporting and data support

While both roles analyze data, a Full Time Decision Scientist specializes in creating models to inform strategic decisions, often requiring advanced degrees. Data Analysts focus on data reporting and basic analysis to support daily business functions. The decision between the two depends on the complexity of analytics needed and the level of technical expertise required.

What are the key skills and qualifications needed to thrive as a full time decision scientist?

To thrive as a Full Time Decision Scientist, you need a solid background in statistics, data analysis, and quantitative modeling, typically supported by a degree in a field like mathematics, statistics, computer science, or engineering. Proficiency with programming languages such as Python or R, data visualization tools, and experience with databases or machine learning frameworks are commonly required. Strong problem-solving abilities, effective communication, and business acumen help translate complex analyses into actionable recommendations for stakeholders. These skills are crucial for driving data-informed decisions that impact organizational strategy and outcomes.
More about Full Time Decision Scientist jobs
What are the most commonly searched types of Decision Scientist jobs? The most popular types of Decision Scientist jobs are:
Infographic showing various Full Time Decision Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution.

Data Scientist (Decision Sciences Team)

CVS Health

Chicago, IL • On-site

$64K - $173K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,332 frontline employees who took The Breakroom Quiz

89th of 112 rated pharmacies


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Role Description

CVS/Oak Street Health is looking for a Data Scientist to join our Decision Sciences team. This team is responsible for delivering data-driven solutions to optimize Oak Street Health's innovative care model and ultimately improve patient outcomes. This team works with many stakeholders across the organization in a fast-paced, agile environment leveraging cutting-edge technology to reimagine how healthcare is provided. As a Data Scientist, you will work with other data scientists and analysts on prospective study designs & execution, ROI assessments, and clinical program evaluations & optimizations. You will be involved in creating statistical analysis plans in partnership with program stakeholders and presenting results to a diverse audience. As a member of our team, you will make an immediate impact as you help expand our data science capabilities across our whole care model.

Core Responsibilities:

  • Utilize advanced mathematical and statistical methods to solve business problems under the supervision of senior data scientists

  • Execute exploratory data analysis to validate and quantify trends identified by partner organizations.

  • Develop insights, visualizations, and other data artifacts that support broader data science initiatives

  • Wrangle and analyze large structured and unstructured datasets in a highly repeatable fashion

  • Demonstrate strong communication skills (both written and verbal) and a positive, solution-oriented attitude

  • Other duties as assigned

Minimum Requirements:

  • 3 years of demonstrated experience conducting statistical analysis and machine learning to answer research or business questions (1+ years if candidate has a Masters or PhD)

  • 3 years of experience in SQL and Python programming (1+ years if candidate has a Masters or PhD)

  • Demonstrated ability to decompose multi-tier problems into actionable steps

  • Excellent problem-solving and analytical skills

  • Experience working with large datasets, analyzing data, and extracting meaningful insights

  • Demonstrated ability to communicate complex analytical findings to diverse audiences

Preferred Requirements:

  • Experience with Google Cloud Computing (GCP)

  • Experience with BigQuery

  • Experience working with medical data sets

  • Experience working with data engineering/MLOps teams to productionalize data science models

  • Familiarity with version control (e.g., GitHub) and ML Platforms (e.g., Databricks, GCP Vertex AI, etc.)

  • Familiarity with Medicare, Medicaid, and value-based models of health care

  • Familiarity with Epic Electronic Health Record (EHR) system

Education:

  • A PhD or a Master's degree with 1+ years of relevant experience, or a Bachelor's degree with 3+ years of relevant experience in a STEM field such as Operations Research/ Industrial Engineering, Applied Mathematics, Computer Science, Engineering, or a related field.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$64,890.00 - $173,040.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/07/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.


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