Data Scientist II
Tasks
- Assess business problems for machine learning value and risk
- Build data pipelines and end user model applications
- Collaborate with stakeholders on data science projects
- Create validation test sets for QA
- Deploy models to production
- Design and improve machine learning platform
- Develop exploratory data analysis for hypothesis validation
- Document analysis approach and results
- Monitor model performance in production
- Share knowledge and new insights
- Train machine learning models
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Life insurance
- Medical insurance
- Paid Holidays
- Paid family leave
- Paid time off
- Remote work
- Vision insurance
Skills/Tech-stack
Apache Hive | Apache Impala | Apache Spark | Big Data | Data Analysis | Data Validation | Exploratory Data Analysis | Machine Learning | Model Deployment | Model Monitoring | NumPy | Pandas | Python | SQL | Scala | Scikit-learn | TensorFlow
Education
Roles
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