Sr. Product Data Scientist
Posted
$158,000 USD
Tech Stack
Responsibilities
- Co-locate with the Product team to deeply understand the business and proactively identify trends, drop-offs, and opportunities across product features.
- Conduct and oversee comprehensive, complex analyses of product usage and adoption to identify root causes for trends.
- Act as a thought partner to Product leadership, identifying opportunities and risks through data analysis and collaborating with Product Managers to define KPIs and success metrics.
- Use advanced statistical methods such as cohort analysis, propensity matching, and causal inference to answer critical executive and investor questions.
- Build the AI-to-Data Bridge by wiring up the BigQuery data warehouse to modern LLMs using standard protocols or native cloud AI tooling, and design the semantic layer to ensure AI-ready data schemas.
Benefits
- Equity
- Remote Work
Culture
Cross-Functional TeamsMentorship ProgramTransparent LeadershipMission-Driven
Requirements
Regions: Us
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About alphasense
Industry: market intelligence
Size: enterprise
AlphaSense provides an AI-driven market intelligence and search platform trusted by over 6,000 enterprise customers, including a majority of the S&P 500, to help remove uncertainty from decision-making.
View company profile →Compensation
Base salary: $158,000 USD
Equity: equity
Bonus: performance-based bonus