Data Scientist

Job Description:
Hybrid in Acton, MA or San Diego, CA. Ideally willing to come on site 2-3x / week
1) High level of SQL Knowledge - Write and maintain SQL queries with Databricks merging data from multiple sources to generate rich datasets and actional insights.
2) Research and devise innovative statistical models for data analysis
3) Execute analytical experiments to help solve problems across various domains and industries
4) Analyze data for trends and patterns, and interpret data with clear objectives in mind
5) Leverage claims data, real-world evidence, product usage, and other patient-level insights to build robust datasets and conduct analyses that drive market intelligence and enhance consumer experience.
6) Collaborating with team members to collect and analyze data
7) Assist senior managers and the senior director in developing KPIs and operational metrics tailored to project requirements.
8) Statical analysis .
9) Manage multiple priorities and projects in a fast-paced, dynamic environment.
10) Track project progress, manage timelines, and keep stakeholders informed.
11) Manage relationships with external vendors/partners
Qualifications:
Develop statical models
High level of SQL Knowledge - Design, write, and maintain complex SQL queries and stored procedures
Generate reports and data extracts to support
Perform ad hoc data analysis to support business operations and investigations
Fluent understanding of data models, schemas, and databases to support analytical and reporting needs, and use SQL for data manipulation and querying
Advanced capabilities with data profiling, validation, and analytics
Advanced analytics skillsets with MS Excel, making use of Excel's data retrieval capabilities, pivot tables, data comparison operations, etc.
Strong ability to explore, Client, and map out large data pipelines that support the processing of structured and semi-structured data
Clear communications skills with the ability to translate complex findings into actionable business recommendations
Ability to navigate and solve problems with imperfect/siloed data sets
Ability to work and collaborate across functions and groups
Able to take initiative to explore and identify solutions rather than waiting for direction
Familiarity with healthcare datasets, including claims data and patient-level data.
Experience working with medical device data, especially in the context of diabetes, is preferred.
Eagerness to thrive in a rapidly growing business and contribute to its evolution.
Passion for learning and expanding analytical and strategic capabilities.
Start Date - End Date:
Nov 10, 2025 - May 8, 2026