Lead Marketing Data Scientist
Dallas, Texas, United States
USD 150K-190K (estimate) Senior-level Full Time
Tasks
- Architect marketing data pipelines
- Build self-serve dashboards
- Build unified marketing data layer
- Collaborate with marketing brand finance product and engineering
- Communicate statistical findings to executives
- Correlate marketing signals with business KPIs
- Define data schemas and data quality standards
- Define measurement standards and attribution conventions
- Design incrementality studies and holdout tests
- Develop marketing mix modeling framework
- Evaluate diminishing returns saturation curves and carryover effects
- Execute geo lift experimentation
- Identify data gaps and latency issues
- Integrate marketing platforms with data warehouse
- Mentor analysts and data scientists
- Quantify diminishing returns and saturation effects
- Reconcile attributed performance with incrementality results
- Run matched market experiments
- Run scenario analysis and budget optimization
- Serve as technical thought leader for marketing measurement
Perks/Benefits
- 401k match
- Career advancement
- Flexible work environment
- Health, dental, and vision insurance
- Hybrid work
Skills/Tech-stack
AWS | Airflow | Attribution | Bayesian | BigQuery | Causal Inference | DBT | Databricks | Difference-in-differences | Experimentation Design | Fivetran | Geo-lift | Google Ads | Incrementality testing | Looker | Marketing Mix | Marketing Mix Modeling | Meta Ads | Mix Modeling | NumPy | Pandas | Power BI | Pymc | Python | Redshift | SQL | Scikit-learn | Snowflake | Stan | StatsModels | Streamlit | Synthetic control | Tableau | Uplift Modeling
Education
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