Sr. Data Scientist
Tasks
- Build reliable data pipelines for integration and analysis
- Coach and train in agile frameworks and methodologies
- Coordinate sprints and standups
- Develop predictive agronomic models
- Implement research projects using statistical machine learning and optimization
- Manage data preparation and cleansing
- Mentor and provide technical guidance to junior data scientists
- Review and revise code for quality and reproducibility
Perks/Benefits
- Dental insurance
- Health care
- Paid time off
- Retirement plan
- Sick leave
- Telecommuting
- Vision insurance
Skills/Tech-stack
AWS | Agile | Bayesian Modeling | CI/CD | Experimental Design | Geopandas | GitLab | Google BigQuery | Hypothesis Testing | Jira | Keras | MLOps | Machine Learning | Matplotlib | NumPy | Optimization | Pandas | PySpark | Pymc | Python | SQL | Scikit-learn | Seaborn | Statistical modeling | TensorFlow | Unit Testing | Version control | XGBoost
Education
Roles
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