Decision Scientist (Automation & Optimization)

CVS Health; Pennsylvania; Hybrid; USD 65,000 - 159,000; Full time

Benefits offered by this job

Medical benefits

Dental and vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health’s Advanced Automation and Optimization team at Oak Street Health seeks an analyst to track and influence data science products affecting patient and operational outcomes. You will build validated data assets, write queries and dashboards, and translate clinical concepts into actionable analytics for stakeholders.

The role emphasizes collaboration with data engineering, delivering scalable analytics, and contributing to healthcare improvements while offering mentorship and growth

Qualifications

• 1+ years of experience applying analytics to health care or business questions using data and automation.
• 1+ years of experience combining SQL and Python to pull, clean, prepare and analyze data.
• Experience with data wrangling and building analytics assets is preferred.

Responsibilities

• Develop knowledge of clinical and operational data structures and apply them to health care problems.
• Build reusable data assets and documentation so analysts can work with data independently.
• Create queries, dashboards, and visualizations to surface data quality and clinical insights for technical and non-technical audiences.
• Bridge clinical concepts and analytical frameworks to help partners understand data capabilities and limits.
• Design analysis pipelines applying statistical methods to identify drivers of outcomes.
• Collaborate with data engineering to ensure proper ingestion, transformation and storage for analytics needs.
• Perform ad hoc data analysis as required.

Skills

Applied analytics

Healthcare data understanding

Data storytelling

Education

Bachelor's degree

Tools

SQL

Python

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 ourselves accountable 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.

The Advanced Automation and Optimization team at Oak Street Health, part of CVS Health, develops GenAI/ML products to help our clinical and administrative teams improve patient and operational outcomes.

We need someone to track and understand how in-house and vendor created data science products influence various outcomes.

What We Offer:

• Mentorship and growth path within the analytics organization
• Exposure to large-scale, real-world datasets and stakeholder-facing analytics work

It is preferred candidates are remote near Chicago, we may consider other areas in the continental US for the right candidate.

Role Summary:

• Develop deep working knowledge of clinical and operational data, understanding how it's structured and how to apply it to real healthcare problems.
• Build reusable, validated data assets - tables, views, derived features - that are thoroughly documented so other analysts and data scientists can work with the data independently.
• Build queries, dashboards, and visualizations that surface data quality, data availability, and clinical insights for both technical and non-technical audiences.
• Act as a bridge between clinical concepts and analytical frameworks, helping business partners understand what the available data can and can't support.
• Build analysis pipelines that apply statistical methods to identify the key drivers behind clinical and operational outcomes.
• Partner with data engineering on pipeline design, so clinical data is ingested, transformed, and stored in ways that fit downstream analytics needs.
• Ad hoc data analysis and other work as required

Required Experience:

• 1+ years of experience in applied analytics to solve healthcare or other business questions using data, analysis and automation
• 1+ years of experience with combination of work or academia using SQL and Python to pull, clean, prepare and analyze data

Preferred Experience:

• 3+ years of experience applying advanced analytics, business intelligence and data wrangling to assist in the development of automation within the clinical space, allowing doctors to benefit by analytics to assist in their treatment plans
• Working knowledge of clinical coding and terminology standards (ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, RxNorm).
• Software development experience

Education

Bachelor's degree or equivalent

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$64,890.00 - $158,620.00

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 full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being 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: 10/27/2026

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