Head of Data Science & Analytics

CVS Health; Woonsocket (RI); Hybrid; USD 141,000 - 261,000; Full time

Benefits offered by this job

Bonus eligibility

Equity award program

Comprehensive benefits

Job summary

CVS Health is seeking a Sr. Manager Data Science in Woonsocket, RI to lead a team that develops insights from data to tackle complex healthcare and retail analytics problems.

The role requires a Master’s degree in a related field and hands-on experience with ML, NLP, and BI tools. It offers a hybrid work setup, competitive benefits, and opportunities to influence strategic decisions within the organization.

Qualifications

• Analyzing large data sets from multiple data sources.
• Analytics experience within the retail and/or healthcare industries.
• Machine learning, statistical analysis, and predictive modeling.
• Programming in R, Hadoop, or Python; R, Python, or SQL.
• SAS programming languages and data visualization tools such as PowerBI or Tableau.
• Coding in Python, R, SAS, Julia, Gurobi, or CPLEX.
• Designing data models and solutions for analytical and reporting use cases.
• Machine Learning or NLP using Scikit-Learn, SpaCy, PyTorch, or Spark NLP.

Responsibilities

• Lead data science team to develop insights from data to solve complex business problems.
• Direct and mentor data scientists; manage performance and project delivery.
• Define data science strategies and best practices for healthcare analytics.
• Collaborate with clinicians, researchers, IT to define objectives and deliverables.

Skills

Analyzing large data sets from multi…

Healthcare analytics

Machine learning

R

Python

SQL

SAS

PowerBI

Tableau

Scikit-Learn

Education

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field

Tools

R

Python

SQL

SAS

PowerBI

Tableau

Hadoop

Gurobi

CPLEX

Scikit-Learn

Job description

CVS Health is seeking a Sr. Manager Data Science in Woonsocket, RI to lead a team that develops insights from data to tackle complex healthcare and retail analytics problems.

The role requires a Master’s degree in a related field and hands-on experience with ML, NLP, and BI tools. It offers a hybrid work setup, competitive benefits, and opportunities to influence strategic decisions within the organization.