Data Scientist

CVS Health • New York, NY

1d

About The Position

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. Position Summary As a Data Scientist – Transition Care Education, you will be managing the full campaign portfolio, that includes ideation, sizing, and implementing member or provider engagement strategies to reduce readmissions after health events. This role applies machine learning, statistics, and decision intelligence to deliver practical insights and measurable results. Daily tasks involve but are not limited to: · Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions · Explores, examines and interprets large volumes of data in various forms · Performs analyses of structured and unstructured data to solve moderately complex business problems · Utilizing advanced statistical techniques and mathematical analyses · Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs · Uses data visualization techniques to effectively communicate analytical results and support business decisions · Creates and evaluates the data needs of assigned projects and assures the integrity of the data · Explores existing data and recommends additional sources of data for improvements · Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics

Requirements

• 1+ years of experience in advanced analytics, experiment design, applied AI/ML
• Proficient programming skills in Python and SQL, with a focus on managing large and complex analytical projects from data exploration, model building, program evaluation and testing
• Communication & Storytelling: Strong ability to present complex data insights in a clear, compelling narrative for stakeholders
• Demonstrate experience working in cross-functional teams/work groups

Nice To Haves

• Experience in designing and deploying data science solutions in member/consumer engagement environment
• Knowledge of healthcare industry, understanding Medicaid, with a strong interest in improving outcomes through interventions/campaigns

Responsibilities

• Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions
• Explores, examines and interprets large volumes of data in various forms
• Performs analyses of structured and unstructured data to solve moderately complex business problems
• Utilizing advanced statistical techniques and mathematical analyses
• Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs
• Uses data visualization techniques to effectively communicate analytical results and support business decisions
• Creates and evaluates the data needs of assigned projects and assures the integrity of the data
• Explores existing data and recommends additional sources of data for improvements
• Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics

Benefits

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level