# Staff Data Scientist
**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** San Francisco, CA
**Salary:** $192K-$260K
**Experience:** 7+ years
**Skills:** Python, Scala, Spark, SQL, R, Machine Learning, Data Analysis, Product Analytics, Forecasting, Recommendation Systems
**Posted:** 2026-01-30
> Staff Data Scientist drives data-driven decisions through segmentation, recommendations, forecasting, and product analytics. Collaborates cross-functionally, mentors juniors, and requires 7+ years experience with Python/Scala, Spark, SQL, and MS/PhD.
## Job Description
## Impact You Will Have
- Shape key data science areas: segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights.
- Work with Engineering, Product Management, Sales and Customer Success to understand usage patterns and make data-driven decisions.
- Manage stakeholders: gather requirements, define OKRs, communicate progress to non-technical audiences.
- Mentor junior data scientists on project planning, technical decisions, code and document review.
- Represent data science organization-wide to promote data-driven culture.
- Build self-serving internal data products.
- Represent Databricks at conferences and events.

## What We Look For
- **7+ years** of data science, machine learning, advanced analytics experience in high-velocity, high-growth companies.
- Extensive experience applying Data Science/ML for end-to-end development and deployment of data-driven products.
- Familiarity with product data science: adoption, churn, cohorts, segmentation, funnel analysis.
- Experience collaborating with stakeholders across Product, Sales, Engineering, Marketing, Finance.
- Strong coding skills in **Scala** or **Python**, familiarity with software engineering principles (testing, code reviews, deployment).
- Proficient in data analysis and visualization using **R** and **Python**.
- Experience with distributed data processing like **Spark**, proficiency in **SQL**.
- **MS or PhD** in quantitative fields (Statistics, Math, Computer Science, Physics, Economics, Operational Research, Engineering).
**Apply:** https://hotfix.jobs/jobs/staff-data-scientist-at-databricks-ccfd2e2e-0e85-41e1-af4a-e24ab75145e5
**Canonical:** https://hotfix.jobs/jobs/staff-data-scientist-at-databricks-ccfd2e2e-0e85-41e1-af4a-e24ab75145e5