Senior Data Scientist

Blue Cross Blue Shield of Massachusetts • Boston, MA

1d

About The Position

Ready to help us transform healthcare? Bring your true colors to blue. As a Senior Data Scientist working in the analytics hub within the finance department, you will serve as an analytics lead for our business units, responsible for connecting them with effective analytics solutions. Your work will go beyond traditional analysis; you will be deeply involved in understanding complex business challenges and building the analytical frameworks that guide our strategy and improve performance. This role is for a data scientist who wants to see their work make a direct impact. You will act as a trusted consultant to business leaders, using your expertise to solve meaningful problems and find new business opportunities. This role is eligible for our Flex Persona for candidates local to our Boston, MA office. What you will do: Drive Strategy & Discovery: Partner directly with business leaders to translate their goals into data-driven hypotheses. You'll move beyond taking requirements to proactively identifying and framing complex problems that can be solved with advanced analytics and machine learning. End-to-End Model Development: Own the entire machine learning lifecycle, from prototyping and feature engineering to building, validating, and deploying production-ready models. You'll be responsible for the quality and real-world impact of your solutions. Quantify Business Impact: Develop and execute the frameworks for measuring the success of analytical initiatives. You will be expected to clearly communicate the value of your work to stakeholders, connecting model performance to key business metrics like revenue, efficiency, and customer satisfaction. Champion Technical Excellence: Promote best practices in code, modeling, and MLOps. You will build scalable, reproducible, and easily maintainable solutions and help mentor other members of the team. Lead through Influence: Act as the central point of contact for your projects, collaborating with Data Engineers, Product Managers, and business stakeholders to ensure your models are successfully integrated and adopted. Innovate and Explore: Stay current with state-of-the-art techniques in the field and lead the exploration of new data sources, tools, and methodologies to solve emerging business challenges. What You Bring: Experience: 5+ years of hands-on experience transforming large, complex datasets into impactful analytical solutions that have driven business decisions. Experience with healthcare data (e.g., medical claims, pharmacy claims, eligibility) is highly desirable. Education: A degree in a quantitative field like Statistics, Mathematics, Computer Science, Engineering, or a related discipline. Technical Proficiency: Deep expertise in Python or R for statistical modeling, machine learning, and data manipulation. Proficiency in SQL and experience working with large-scale relational databases (experience with Snowflake is highly desirable). Advanced knowledge of the end-to-end machine learning lifecycle, from feature engineering and model development to validation and performance monitoring. Proficiency with version control systems like Git for collaborative development. Strong data visualization skills, with expertise in tools like Tableau to create compelling, easy-to-understand dashboards. Strategic & Collaborative Mindset: A self-directed and creative problem-solver, with the ability to work independently on complex analytical challenges from data to platform to final solution. An efficiency-driven approach, with a demonstrated ability to automate processes and build scalable, repeatable solutions. A proven ability to navigate ambiguity, translating high-level business questions into well-defined analytical projects. Experience leading projects in an Agile environment, from initial discovery and use case definition to final delivery. Excellent communication skills, with the ability to clearly explain complex technical concepts and results to both technical and non-technical stakeholders. A natural curiosity and drive to innovate, with the ability to mentor others and introduce new tools and techniques to the team.

Requirements

• 5+ years of hands-on experience transforming large, complex datasets into impactful analytical solutions that have driven business decisions.
• A degree in a quantitative field like Statistics, Mathematics, Computer Science, Engineering, or a related discipline.
• Deep expertise in Python or R for statistical modeling, machine learning, and data manipulation.
• Proficiency in SQL and experience working with large-scale relational databases (experience with Snowflake is highly desirable).
• Advanced knowledge of the end-to-end machine learning lifecycle, from feature engineering and model development to validation and performance monitoring.
• Proficiency with version control systems like Git for collaborative development.
• Strong data visualization skills, with expertise in tools like Tableau to create compelling, easy-to-understand dashboards.
• A self-directed and creative problem-solver, with the ability to work independently on complex analytical challenges from data to platform to final solution.
• An efficiency-driven approach, with a demonstrated ability to automate processes and build scalable, repeatable solutions.
• A proven ability to navigate ambiguity, translating high-level business questions into well-defined analytical projects.
• Experience leading projects in an Agile environment, from initial discovery and use case definition to final delivery.
• Excellent communication skills, with the ability to clearly explain complex technical concepts and results to both technical and non-technical stakeholders.
• A natural curiosity and drive to innovate, with the ability to mentor others and introduce new tools and techniques to the team.

Nice To Haves

• Experience with healthcare data (e.g., medical claims, pharmacy claims, eligibility) is highly desirable.
• Proficiency in SQL and experience working with large-scale relational databases (experience with Snowflake is highly desirable).

Responsibilities

• Drive Strategy & Discovery: Partner directly with business leaders to translate their goals into data-driven hypotheses. You'll move beyond taking requirements to proactively identifying and framing complex problems that can be solved with advanced analytics and machine learning.
• End-to-End Model Development: Own the entire machine learning lifecycle, from prototyping and feature engineering to building, validating, and deploying production-ready models. You'll be responsible for the quality and real-world impact of your solutions.
• Quantify Business Impact: Develop and execute the frameworks for measuring the success of analytical initiatives. You will be expected to clearly communicate the value of your work to stakeholders, connecting model performance to key business metrics like revenue, efficiency, and customer satisfaction.
• Champion Technical Excellence: Promote best practices in code, modeling, and MLOps. You will build scalable, reproducible, and easily maintainable solutions and help mentor other members of the team.
• Lead through Influence: Act as the central point of contact for your projects, collaborating with Data Engineers, Product Managers, and business stakeholders to ensure your models are successfully integrated and adopted.
• Innovate and Explore: Stay current with state-of-the-art techniques in the field and lead the exploration of new data sources, tools, and methodologies to solve emerging business challenges.

Benefits

• We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and a suite of well-being benefits to eligible employees.

What This Job Offers

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