Tech Stack
Responsibilities
- Shape the direction of key data science areas including segmentation, recommendation systems, forecasting, product analytics, churn prediction, and insights.
- Collaborate with Engineering, Product Management, Sales, and Customer Success to analyze product usage, make data-driven decisions, recommendations, and forecasts.
- Manage stakeholders by gathering requirements, defining project OKRs and milestones, and communicating progress and results to non-technical audiences.
- Mentor and guide junior data scientists on the team in project planning, technical decisions, code, and document review.
- Build self-serving internal data products to simplify data within the company.
Benefits
- Equity
Culture
Mission-DrivenCross-Functional TeamsInclusive Hiring
Requirements
Required: MS or PhD in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)
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About Databricks
Industry: saas
Size: large
Databricks is a data and AI company that builds and operates the world’s best data and AI infrastructure platform, enabling data teams to turn deep data insights into business impact.
View company profile →Compensation
Base salary: $192,000 USD
Equity: equity
Bonus: annual performance bonus