Data Scientist
USD 136K-207K (estimate) None Full Time
Tasks
- Apply ensemble modeling
- Build and deploy supervised, unsupervised, and deep learning models
- Collaborate with data engineering on MLOps pipelines
- Conduct statistical analysis and hypothesis testing
- Develop NLP and recommender system solutions
- Lead development of data driven solutions
- Perform feature engineering and analysis
- Query preprocess and clean data
- Train and test models and provide deployment requirements
- Work in an agile framework
Perks/Benefits
- Adoption Assistance
- Employee stock purchase plan
- Employer-Matched Retirement Plan
- Healthcare (Dental
- Healthcare (Medical
- Healthcare vision
- Holidays
- Infertility Treatment Assistance
- Long-term disability
- Paid time off
- Short-term disability
- Surrogacy Assistance
- Tuition reimbursement
- Volunteer time off
Skills/Tech-stack
AWS | Attribution Analysis | Bayesian optimization | Cloud Computing | Component analysis | Deep learning | Ensemble modeling | GLM | Gradient boosting | Hypothesis Testing | Language Processing | Lasso Regression | Machine Learning | Multi-variate analysis | Natural Language | Natural Language Processing | NumPy | Pandas | Principal Component Analysis | PySpark | PyTorch | Python | R | Random Forest | Recommender Systems | Ridge regression | SQL | Scala | Scikit-learn | Spark | Statistical Sampling | Supervised Learning | Unsupervised Learning | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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