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Senior Product Data Scientist
Skills
Amazon RedshiftAnalytical SkillsAnalyticsBusinessBusiness InsightsData ScienceEngineering
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 4+ years of experience in data science analytics or related fields
- Advanced proficiency in Python and SQL
- Experience with modern data warehouses such as Snowflake Redshift or BigQuery
- Strong foundation in experimental design causal inference and statistical methods
- Exceptional communication skills with the ability to frame technical findings for stakeholders
- Strong applied experience in data science
- Master’s or PhD in a quantitative field is a plus
- Experience in DBT is a plus
- Experience on a Product growth team is a plus
Nice to have
- Proactive
- Analytical thought leader
- Cross-functional mindset
- Business oriented
- Strategic communicator
Day to day
- Analyze patient behavior and product performance to uncover growth opportunities and guide strategic decisions.
- Design and evaluate experiments with robust statistical methods to measure product and operational impact.
- Translate complex analyses into clear business recommendations that influence leaders across Product Operations Clinical and Finance.
- Build repeatable analytics frameworks and reporting that turn one-off analyses into scalable institutional knowledge.