Data Science Manager
CDMX – 1458 Avenida Insurgentes Sur, Mexico
MXN 174K-180K (estimate) Mid-level Full Time
Tasks
- Apply causal inference techniques
- Build ETL and ELT pipelines
- Clean and govern data
- Communicate model impact on business metrics
- Conduct feature engineering
- Create executive dashboards
- Deploy models to cloud environments
- Design and train marketing mix models
- Detect account opportunities and risks
- Lead client-facing results meetings
- Monitor data drift and model performance
- Optimize budget scenarios
- Perform statistical and econometric modeling
- Present technical and business results
- Run ROI marginal analysis
- Support upselling and cross-selling
- Version data and models
Perks/Benefits
Skills/Tech-stack
Airflow | Bayesian Modeling | BigQuery | CVX | Causal Inference | CausalML | Cloud Composer | DBT | Data Drift | Data drift monitoring | Data leakage | Data leakage detection | Data.table | DoWhy | Docker | Double Machine Learning | DoubleML | Drift monitoring | ELT | ETL | Econometrics | Experimental Design | Feature Engineering | Fine Tuning | Geo-experiments | Git | LLM | Leakage detection | MLOps | Machine Learning | Monte Carlo | Monte Carlo Simulation | Pandas | PyCaret | Pymc | Python | Regularization | Reporting | SQL | SciPy | Scikit-learn | Series analysis | Stan | Statistical modeling | StatsModels | Synthetic controls | Time Series | Time Series Analysis | Uplift Modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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