Staff Data Scientist
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.
About the job
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).
Skills
Python, Scala, Spark, SQL, R, Machine Learning, Data Analysis, Product Analytics, Forecasting, Recommendation Systems
Similar jobs
Data Science jobs
Suno
New York, NY
Leads data science for growth and monetization, shaping pricing, packaging, conversion, retention, and new revenue models. Requires 6–8+ years in data science or product analytics, advanced SQL and Python, rigorous experimentation experience, and strong cross-functional influence.
Suno
San Francisco, CA
The first dedicated Trust & Safety data scientist will define ecosystem metrics, run experiments, evaluate safety models, and shape the roadmap with Product, Engineering, and Legal. Requires 6–8 years of data science experience, Trust & Safety or adjacent domain expertise, and strong SQL and Python skills.
United States
Leads end-to-end quantitative research and user-centered metric development for Pinterest’s consumer experience, partnering closely with Data Science and Engineering. The role requires 7+ years of experience, expertise in survey methodology, experimentation, statistical modeling, and model evaluation, plus strong cross-functional and leadership communication skills.
DuckDuckGo
United StatesStaff Data Scientist driving search ranking and results improvements through machine learning, NLP, evaluation, and ranking-signal development. Requires 10+ years of data science experience, staff-level leadership, production ML deployment, Python, and advanced SQL skills.
Mercury
San Francisco, CAStaff Data Scientist focused on building and operating machine learning systems for real-time fraud detection and financial crime risk. The role requires 7+ years working with large datasets, strong Python and SQL skills, production ML experience, and technical leadership.