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Company Overview
A leading healthcare organization is seeking a Senior Data Scientist to join its analytics hub within the finance department. The organization focuses on transforming healthcare through advanced analytics, machine learning, and data-driven insights. It provides innovative solutions that directly impact patient care, operational efficiency, and business performance.
Summary
The Senior Data Scientist will serve as an analytics lead for business units, translating complex business challenges into actionable data-driven solutions. This role involves full ownership of the machine learning lifecycle and close collaboration with business leaders, data engineers, and product managers to ensure real-world impact. The position is eligible for the Flex Persona for candidates local to the Boston, MA office.
Responsibilities
Partner with business leaders to translate goals into data-driven hypotheses and identify complex problems solvable with advanced analytics and machine learning
Own the end-to-end machine learning lifecycle, including prototyping, feature engineering, model development, validation, deployment, and performance monitoring
Develop frameworks to quantify business impact, linking analytical solutions to metrics such as revenue, efficiency, and customer satisfaction
Promote best practices in coding, modeling, and MLOps to create scalable, reproducible, and maintainable solutions
Act as the central point of contact for projects, collaborating across teams to ensure successful model integration and adoption
Stay current with state-of-the-art techniques, explore new data sources, tools, and methodologies to address emerging business challenges
Mentor and guide other team members to foster technical excellence and innovation
Qualifications
5+ years of hands-on experience transforming large, complex datasets into impactful analytical solutions
Experience with healthcare data (medical claims, pharmacy claims, eligibility) is highly desirable
Degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or related discipline
Expertise in Python or R for statistical modeling, machine learning, and data manipulation
Proficiency in SQL and experience with large-scale relational databases (Snowflake experience preferred)
Advanced knowledge of the end-to-end machine learning lifecycle and version control systems like Git
Strong data visualization skills using tools such as Tableau
Self-directed, creative problem-solver with the ability to translate high-level business questions into analytical projects
Experience leading projects in Agile environments from discovery to delivery
Excellent communication skills to explain complex concepts to technical and non-technical stakeholders
Curiosity, drive to innovate, and ability to mentor others while introducing new tools and techniques
Minimum Education Requirements
High school degree or equivalent required unless otherwise noted above
Disclaimer
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1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
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