Senior Data Scientist
USD 101K-169K Senior-level Full Time
Tasks
- Apply interpretability methods SHAP LIME
- Build market share modeling and reporting
- Collaborate with engineering teams for model deployment
- Create macroeconomic and business forecasting models
- Deliver production ready code in Python and SQL
- Design financial modeling for incentives pricing profitability
- Develop predictive prescriptive optimization models
- Ensure responsible AI bias detection compliance monitoring
- Establish automated monitoring and governance frameworks
- Integrate AI enhanced models into production systems
- Mentor junior staff and support team capability building
- Perform data preparation feature engineering validation
- Present insights to technical and non-technical stakeholders
Perks/Benefits
- Additional paid time off for family and personal needs
- Dental insurance
- Health care insurance
- Paid Holidays
- Paid sick leave
- Paid vacation
- Paid wellness time
- Parental leave
- Remote work option
- Retirement planning 401k
- Vision insurance
- Volunteer time off
Skills/Tech-stack
AWS | Agile | CI/CD | Causal Inference | Choice Modeling | Data Analysis | Data Governance | Data Visualization | Deep learning | Demand Elasticity | Discrete Choice Modeling | Discrete choice | Econometrics | Feature Engineering | Forecasting | Hyperparameter Tuning | Integer Programming | LIME | Linear Programming | Machine Learning | Market Share | Market Share Modeling | Mixed Integer | Mixed-Integer Programming | Monte Carlo | Monte Carlo Simulation | Multinomial Logit | Nested logit | Optimization | Panel data | Panel data analysis | Power BI | PyTorch | Python | Risk Modeling | SHAP | SQL | Scenario Analysis | Scikit-learn | Statistical modeling | Tableau | TensorFlow | Time Series
Education
Roles
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