Senior Data Scientist

Highlights

• Shape usage forecasting, product analytics and funnel analysis for key areas.
• Build internal data products to make data simple across the company.
• Act as in-house production customer dogfooding Databricks to guide products.

What they offer

• Annual performance bonus
• Equity
• Comprehensive benefits

Ideal candidate

A product-minded data scientist who thrives partnering with Product and business stakeholders, mentoring others, and turning usage patterns into clear forecasts and decisions.

Requirements

• Experience applying Data Science / ML in production to build data-driven products for business problems
• Familiarity with Product Analytics including adoption, churn, cohorts and funnel analysis
• Experience collaborating with stakeholders across Product, Customer Success, Engineering, Sales, Marketing and Finance
• Strong coding skills in Scala or Python with testing, code reviews and deployment
• Proficient in data analysis and visualization using R and Python
• Experience with distributed systems like Spark and Hadoop and proficiency in SQL
• BS/MS/PhD in Computer Science or related field