Lead Data Scientist

What you'll do

• Conduct exploratory data analysis on user, content, and engagement data to identify behavioral patterns and trends.
• Design, implement, and evaluate A/B tests and controlled experiments using sound statistical methodology.
• Define success metrics for ML-driven features and measure model performance against statistically valid outcomes.
• Partner with Machine Learning Engineers on feature design, drift detection, and model evaluation.
• Translate data insights into actionable product recommendations for product managers, designers, and engineering stakeholders.
• Apply statistical analysis to large-scale datasets using Python, SQL, and PySpark.
• Act as the bridge between data and product decisions to ensure ML investments drive measurable business impact.

What we're looking for

• Bachelor’s degree in computer science, Statistics, Mathematics, Economics, or a comparable quantitative field, or equivalent work experience.
• 7+ years of experience in data science, analytics, or a related field, including experience partnering with engineering and product teams.
• Strong proficiency in Python, SQL, and PySpark for large-scale data analysis and manipulation.
• Deep experience with cloud data platforms such as AWS, Databricks, or Snowflake.
• Deep experience with statistical analysis and experimentation, including designing, running, and interpreting A/B tests.
• Demonstrated ability to conduct exploratory data analysis and translate user behavior patterns into actionable insights.
• Experience defining success metrics and measuring model performance, including feature design, drift detection, and model evaluation.
• Experience with Adobe Analytics or comparable web/product analytics platforms.