About the Role
As a Data Scientist on the Data Team at Databricks, you will play a crucial role in building a data-driven culture within the company by solving complex product and business challenges. The Data team also acts as an in-house, production "customer," dogfooding Databricks products and actively influencing their future direction.
The Impact You Will Have
- Shape the direction of key data science areas for 2020, including usage forecasting, product analytics, and user behavior and funnel analysis.
- Work closely with Product Management, Sales, Customer Success, and other stakeholders to understand product usage patterns and trends, making data-driven decisions and forecasts.
- Manage stakeholders for your focus area, gathering evolving requirements, defining project OKRs and milestones, and effectively communicating progress and results to non-technical audiences.
- Mentor and guide data scientists on the team by assisting with project planning, technical decisions, and code and document reviews.
- Build self-serving internal data products to simplify data accessibility within the company.
What We Look For
- Experience in applying Data Science / ML in production to build data-driven products for solving business problems.
- Familiarity with Product Analytics – understanding and tracking customer and user behavior using lenses like adoption, churn, cohorts, and funnel analysis.
- Experience collaborating with and understanding the needs of stakeholders from a variety of business functions, including Product, Customer Success, Engineering, Sales, Marketing, and Finance.
- 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 Hadoop, and proficiency in SQL.
- BS/MS/PhD in Computer Science or a related field.