Senior Decision Scientist

CVS Health

Remote

Quick summary

Work type: Remote
Location: New York, NY
Posted: 6 days ago
Closes: Jul 6, 2026
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $165k

$107k most similar roles pay here $236k

This listing doesn't post a salary. Most similar roles pay $129,725–$199,850.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 409 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 135 roles with salary data.

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At a glance

TL;DR · Senior Decision Scientist

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Aetna Resources, LLC., a CVS Health company, seeks a Senior Decision Scientist in New York to collaborate with internal clients on identifying opportunities for data science solutions by transforming complex datasets into actionable insights. This role involves applying advanced analytics techniques such as machine learning and statistical modeling to large-scale healthcare data, using tools like R, Python, SQL, Hadoop, Spark, and PySpark. The ideal candidate will mentor junior team members while developing predictive models that inform business decisions and strategic initiatives within the health sector. They must possess experience in marketing analytics, clinical trials, or health research, along with expertise in big data platforms and machine learning frameworks to drive impactful solutions at scale.

Skills

Python R SQL Hadoop Spark Airflow Kafka PySpark Scala Java Scikit-Learn SpaCy PyTorch Spark NLP AWS Azure GCP Machine Learning NLP Data Warehouse Big Data

What you'll do

Apply data mining and machine learning techniques to extract insights from large datasets.
Develop predictive models using statistical analysis to inform business decisions.
Visualize complex data findings and communicate them effectively to internal stakeholders.
Mentor junior team members in data science methodologies and best practices.
Recommend improvements based on performance metrics of various modeling techniques.

What we're looking for

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Information Systems, or related field required.
At least two years of experience in data science, marketing analytics, clinical trials, or health research.
Proficiency in R, SQL, and Python for data analysis and modeling.
Experience with big data platforms like Hadoop, Spark, Airflow, Kafka, and NoSQL databases.
Knowledge of machine learning frameworks such as Scikit-Learn, PyTorch, and Spark NLP.
Ability to design and develop data science solutions using industry-leading tools and best practices.

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