Senior Data Scientist building data-driven products and product analytics at Databricks. Works with PM, Sales, and CS stakeholders on usage forecasting and funnel analysis; mentors junior data scientists.
123k – 218k/yr
On-site3+ YOEData Science
About the role
Impact
Shape the direction of key data science areas including usage forecasting, product analytics, user behavior and funnel analysis.
Work closely with Product Management, Sales, Customer Success and other stakeholders to understand product usage patterns and trends and to make data-driven decisions 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 data-scientists on the team by helping with project planning, technical decisions, and code and document review.
Build self-serving internal data products to make data simple within the company.
Requirements
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 behaviour using lenses like adoption, churn, cohorts 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 Hadoop, and proficiency in SQL.
BS/MS/PhD in Computer Science, or a related field.
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