Data Scientist [Multiple Positions Available]
Tasks
- Adopt new technologies and best practices
- Collaborate across data engineering applied science and product management
- Create product recommendation models
- Design build implement end to end data products
- Drive data migrations from legacy platforms
- Explain data problems and solutions to stakeholders
- Guide discovery of new data science solutions
- Perform analytics to inform product roadmap
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- On-site health and wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
A/B | A/B Testing | Artificial Intelligence | B testing | Boosting | Classification | Clustering | Component analysis | Cross-validation | Databricks | Decision Trees | Discriminant analysis | Ensemble learning | Feature Engineering | Hyperparameter Tuning | Linear Discriminant Analysis | MLflow | Machine Learning | Natural Language | Natural Language Toolkit | Neural Networks | Predictive Modeling | Principal Component Analysis | Python | ROC-AUC | Random Forest | Regression | Regularization | Series analysis | Support Vector Machines | TensorFlow | Time Series | Time Series Analysis | Vector machines
Education
Master of Science | Master of Science in Business Analytics | Master of Science in Data Science | Master of Science in Statistics
Roles
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