IL0219 – Data Scientist.
Tasks
- Automate recurring analysis and model building processes
- Build scalable data pipelines for feature extraction
- Clean analyze and summarize complex data
- Collaborate with data engineering and operations to productionize work
- Create end to end analytics projects
- Develop and evaluate marketing machine learning models
- Document research plans results and conclusions
- Participate in planning, roadmap, and architecture discussions for AI processes
- Present findings to diverse audiences
- Prototype and implement solutions to improve ML model performance
- Transform raw data into meaningful information
Perks/Benefits
- 100 percent telecommuting
- 401k with company match
- Adoption Assistance
- Disability insurance
- Employer/partner discounts
- Life insurance
- Medical, dental, and vision coverage
- Paid time off
- Parental leave
- Tuition assistance
Skills/Tech-stack
AWS Lambda | AWS QuickSight | AWS S3 | AWS Step Functions | Agile methodology | Amazon Athena | Amazon RDS | Amazon Redshift | Amazon SageMaker | Data Exploration | Feature Engineering | Git | Hadoop | Hyperparameter Tuning | Java | JavaScript | Jenkins | Matplotlib | MySQL | Pentaho | PostgreSQL | Probability and statistics | PySpark | Python | SQL | Seaborn | Shell Scripting | Snowflake | Step Functions | Supervised Learning | Tableau | Unsupervised Learning
Education
N/A
Roles
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