Senior Data Scientist
Tasks
- Analyze feature importance for AI models
- Build data solutions for marketing campaign optimization
- Build regression models for targeting and bidding
- Create unified system linking marketing mix modeling and incrementality
- Define testing roadmap
- Deploy predictive models in performance marketing
- Design and analyze incrementality tests
- Design scalable data pipelines and ETL evolution
- Develop creative analytics metrics such as creative fatigue
- Develop marketing mix modeling and Bayesian budgeting platform
- Quantify incremental ROI using causal inference
- Support applied AI model rollout and impact analysis
Perks/Benefits
- Equity
- Free mental health support
- Gympass wellness benefits
- Health insurance
- Learning and development budget
- Paid time off
- Relocation package
Skills/Tech-stack
A/B | A/B Testing | Airflow | Apache Spark | Attribution | B testing | Bayesian statistics | Causal Inference | DBT | Data Pipelines | Databricks | ETL | Experimentation | Incrementality | Looker | Machine Learning | Marketing Mix | Marketing Mix Modeling | Mix Modeling | Predictive Modeling | Python | Regression Analysis | SQL | Snowflake
Education
N/A
Roles
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