IL0219 – Data Scientist.
Tasks
- Automate recurring analyses and model building
- Build machine learning models
- Clean analyze and summarize data
- Collaborate with data engineering teams to productionize work
- Create end to end data analysis projects
- Develop analytics techniques
- Develop data pipelines for feature extraction
- Document research plans results and conclusions
- Evaluate marketing machine learning models
- Improve machine learning model performance
- Plan roadmap and architecture for AI processes
- Present research recommendations to stakeholders
- Prototype advanced machine learning solutions
Perks/Benefits
- 401k match
- Adoption Assistance
- Dental insurance
- Disability insurance
- Employer Discounts
- Health insurance
- Life insurance
- Paid time off
- Parental leave
- Tuition assistance
- Vision insurance
Skills/Tech-stack
AWS Lambda | AWS QuickSight | AWS RDS | AWS Redshift | AWS S3 | AWS Step Functions | Agile methodology | Amazon Athena | Amazon SageMaker | Data Exploration | Feature Engineering | Git | Hadoop | Hyperparameter Tuning | Java | JavaScript | Jenkins | Machine Learning | Matplotlib | MySQL | Pentaho | PostgreSQL | Probability and statistics | PySpark | Python | SQL | Seaborn | Shell Scripting | Snowflake | Step Functions | Supervised Learning | Tableau | Unsupervised Learning
Education
Roles
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