Senior Data Scientist

Responsibilities

• Build statistical and machine learning models to improve content discovery and user engagement.
• Work closely with ML engineers to translate models and insights into production systems.
• Apply causal inference methods to understand the impact of potential product changes.
• Define and build new ML features using text and multimodal embeddings and GenAI.
• Validate offline learnings with online outcomes through AB testing.
• Design, execute, and analyze experiments to prove product change attribution.

Qualifications

• PhD or M.S. in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations Research with 5+ years of professional experience in data science, machine learning or related quantitative field.
• 3+ years of professional experience with large-scale online ranking/recommender systems (for news feeds, shopping, ads, music, etc).
• Deep expertise in statistical inference and experimental design: hypothesis testing, power/sample size calculations, variance reduction, etc.
• Proven ability to translate offline analysis into product decisions and measurable improvements in online metrics.
• Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit-learn) and machine learning packages such as LightGBM and XGBoost.
• Strong experience with SQL (e.g. postgres, snowflake, etc).