Sr. Data Scientist
Tasks
- Analyze datasets with descriptive statistics
- Build unit tests data quality checks and data pipelines
- Collaborate with external parties to incorporate tools and techniques
- Detect dataset bias and leakage
- Develop data acquisition software in Python
- Develop machine learning ensemble methods
- Execute data science training sessions and hackathons
- Guide software development teams with data science prototypes
- Present results to internal and external stakeholders
- Run distributed training and inference jobs on cloud
- Train and deploy supervised unsupervised and time series models
- Tune models with hyperparameters and feature subsets
Perks/Benefits
- 401k match
- Caregiver leave
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Paid time off
- Parental leave
- Pension
- Vision insurance
Skills/Tech-stack
Azure | Data Pipelines | Data Quality | Data Quality Checks | Distributed Training | ETL | Ensemble learning | Feature Selection | Hyperparameter Tuning | Keras | Linux | Machine Learning | NumPy | Pandas | Python | Quality checks | Scikit-learn | Series analysis | Source Control | Supervised Learning | TensorFlow | Time Series | Time Series Analysis | Unit Testing | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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