Sr. Data Scientist
Tasks
- Collaborate with business stakeholders to define analytical requirements
- Design and execute predictive modeling and statistical analysis
- Develop best practices for reproducibility and model governance
- Lead complex data science initiatives
- Partner with machine learning engineers for production deployment
- Perform exploratory data analysis and feature engineering
- Present findings to technical and non-technical audiences
- Provide mentorship to junior data scientists and analysts
- Support model monitoring and iterative improvement
Perks/Benefits
- 401k matching
- Company pension plan
- Disability coverage
- Disease management programs
- Employee assistance program
- Family building support
- Fitness benefits
- Health, dental, and vision insurance
- Life insurance
- Paid parental leave
- Paid time off
- Recognition program
Skills/Tech-stack
AWS | Apache Spark | Azure | Data Modeling | Data Visualization | Databricks | Experimental Design | Feature Engineering | GCP | Hypothesis Testing | MLflow | Machine Learning | Matplotlib | Model Validation | NumPy | Pandas | Power BI | Predictive Analytics | PyTorch | Python | R | Scikit-learn | Seaborn | Statistical Analysis | Supervised machine learning | Tableau | TensorFlow | Unsupervised machine learning
Education
Roles
Regions
Countries
States
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