Senior Data Scientist
USD 115K-155K (estimate) Senior-level Full Time
Tasks
- Apply privacy and security controls
- Build data models and reproducible feature sets
- Build marketing mix models
- Coach junior data scientists through code reviews
- Communicate insights to technical and non-technical audiences
- Design data pipelines
- Develop survival analysis and regression models
- Ensure model governance validation fairness and monitoring
- Frame business problems with hypotheses and success metrics
- Implement machine learning model packaging and deployment
- Lead end-to-end machine learning development
- Monitor and alert model performance
- Produce response curves and elasticities
- Source clean and integrate datasets
- Translate business goals into data science initiatives
Perks/Benefits
- 401-k match
- Dental insurance
- Health Savings Account match
- Maternity leave
- Medical insurance
- Mentor program
- Parental leave
- Tuition reimbursement
- Vision insurance
- Wellness incentives
Skills/Tech-stack
A/B | A/B Testing | Adstock | Airflow | B testing | BG NBD | CI/CD | Causal Inference | Customer Lifetime Value | DBT | Data Governance | Data Privacy | Data Security | Databricks | Decision Trees | Gamma Gamma | Gradient boosting | Lag Modeling | Lifelines | Lifetime Value | Lightweightmmm | Logistic Regression | MLflow | Marketing Mix | Marketing Mix Modeling | Matplotlib | Mix Modeling | Multi-Touch Attribution | Multi-touch) | NumPy | Pandas | Pareto NBD | Plotly | Power BI | PySpark | Python | Robyn | SQL | Saturation | Scikit-learn | Scikit-survival | Seaborn | Survival analysis | Tableau | Version control
Education
N/A
Roles
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