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Full Time Decision Scientist Jobs (NOW HIRING)

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Senior Staff Decision Science (Risk)

New York, NY · On-site

$190K - $235K/yr

About the role We are seeking an experienced Senior Staff Decision Scientist to join our Risk and ... Benefits For full-time U.S. employees we offer: * Competitive medical, dental, and vision * Company ...

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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 are Full Time Decision Scientists?

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, and why are they important?

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:
What job categories do people searching Full Time Decision Scientist jobs look for? The top searched job categories for Full Time Decision Scientist jobs are:
Full Time Decision Scientist jobs near you
Infographic showing various Full Time Decision Scientist job openings in the United States as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution.

Senior Decision Scientist - Specialty Operations

CVS Health

New York, NY

$111K - $222K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,324 frontline employees who took The Breakroom Quiz

88th of 110 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.

CVS Health is seeking a Senior Decision Scientist to partner with Specialty Operations leaders to solve complex business problems using data, analytics, and quantitative decision-making. This is a highly consultative role focused on translating ambiguous business questions into analytical frameworks, generating actionable insights, and influencing strategic and operational decisions.

The Senior Decision Scientist will serve as a trusted advisor to business stakeholders, combining strong statistical reasoning, business acumen, and structured problem-solving to identify opportunities for operational improvement. Rather than building production AI or machine learning systems, this role emphasizes rapid hypothesis generation, statistical analysis, experimentation, forecasting, and communicating clear recommendations that drive measurable business outcomes.

The ideal candidate is intellectually curious, thrives in ambiguous environments, and enjoys working directly with business leaders to solve high-impact operational challenges across CVS Specialty.

Required Qualifications

  • 3+ years of experience in analytics, decision science, management consulting, business analytics, data science, operations research, or a related quantitative field

  • Demonstrated experience solving complex business problems using statistical analysis and data-driven decision making

  • Strong analytical and critical thinking skills with the ability to structure ambiguous problems into actionable analytical approaches

  • Experience conducting statistical analyses such as hypothesis testing, regression, forecasting, segmentation, and experimental design

  • Proficiency in SQL and experience using Python or R for data analysis and statistical modeling

  • Ability to synthesize large datasets into concise, actionable insights for business and executive audiences

  • Strong communication, storytelling, and presentation skills with experience influencing cross-functional stakeholders

  • Experience partnering directly with business leaders to prioritize opportunities and develop data-informed recommendations

  • Ability to manage multiple initiatives in a fast-paced, highly collaborative environment

Preferred Qualifications

  • Experience in management consulting or internal strategy and analytics organizations

  • Experience supporting healthcare, pharmacy, specialty pharmacy, payer, or healthcare operations

  • Knowledge of operational performance metrics, process optimization, workforce analytics, or service operations

  • Experience designing and evaluating business experiments (A/B testing, pilot evaluations, quasi-experimental analyses)

  • Familiarity with predictive modeling techniques and machine learning concepts, with the ability to determine when these methods are appropriate for business problems

  • Experience developing executive presentations and facilitating discussions with senior leadership

  • Experience with data visualization tools such as Tableau or Power BI

  • Exposure to AI-enabled decision support tools, generative AI, or intelligent analytics platforms is a plus, but not required

Education

  • Bachelor's degree in Statistics, Economics, Mathematics, Operations Research, Engineering, Computer Science, Business Analytics, or a related quantitative field required

  • Master's degree in a quantitative discipline or MBA preferred

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$111,240.00 - $222,480.00

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: 08/09/2026

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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