Staff Data Scientist

7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies
Extensive experience in applying Data Science / ML for the end-to-end development and deployment of data-driven products for solving business problems
Familiarity with product data science – understanding and tracking customer and user behavior using lenses like adoption, churn, cohorts, segmentation and funnel analysis
Experience collaborating with and understanding the needs of stakeholders from a variety of business functions
Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment
Proficient in data analysis and visualization using tools like R and Python
Experience with distributed data processing systems like Spark, and proficiency in SQL
MS or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)

Shape the direction of some of our key data science areas – segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights
Work closely with Engineering, Product Management, Sales and Customer Success to understand product usage patterns and trends and make data-driven decisions, recommendations and forecasts
Manage stakeholders for their focus area – gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience
Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review
Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven
Build self-serving internal data products to make data simple within the company
Represent Databricks at academic and industrial conferences & events

No preferred qualifications provided.