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Data Scientist Lead
Skills
AdoptionAmazon RedshiftAmazon Web ServicesCalibrationData WarehousingMarketing AnalyticsModeling
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 3+ years experience building statistical or ML models in ad-tech marketing analytics agency measurement or related data science roles
- Strong statistics and causal inference fundamentals including experimental design hypothesis testing regression and hierarchical models
- Proficient in Python and SQL with R as a plus
- Hands-on experience with event-level ad exposure and conversion data logs from ad servers DSPs or retail POS integration
- Experience with cloud data warehouses and ETL tooling such as BigQuery Snowflake Redshift Airflow dbt or Kafka
- Excellent written and verbal communication with ability to translate technical results for non-technical stakeholders
Nice to have
- Consultative experience
- Ambiguity tolerance
- Mentoring ability
- Measurement advocacy
Day to day
- Design and analyze randomized and quasi-experimental tests to measure advertising incrementality and lift.
- Build and productionize causal models and marketing mix models to quantify media impact across digital and offline channels.
- Develop scalable data pipelines and dashboards that transform complex ad exposure and conversion data into actionable insights for stakeholders.