Data Scientist
United States; Chicago, Illinois, United States
USD 90K-120K Mid-level Full Time
Tasks
- Apply generative ai techniques for business problems
- Design prototype and evaluate agentic AI workflows
- Develop custom machine-learning models
- Develop processes and tools to monitor data models
- Develop prompt engineering and model evaluation approaches
- Integrate ai solutions with api workflows
- Mine and analyze data for business optimization
- Use ai assistive engineering tools to improve development
Perks/Benefits
- 401k match
- Bike share discount
- Charitable contribution matching
- Dental insurance
- Flexible PTO
- Flexible work policy
- Life insurance
- Long-term disability
- Medical insurance
- Paid Holidays
- Paid parental leave
- Short-term disability
- Vision insurance
- Volunteer time off
Skills/Tech-stack
API Integration | AWS | AWS Lambda | Agentic AI | Amazon Bedrock | Amazon S3 | Amazon SageMaker | Data Modeling | Feature Engineering | Generative AI | Human-in-the-loop | Machine Learning | Model Validation | Orchestration | Power BI | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Snowflake | Snowflake data | Snowflake data modeling | Statistical Analysis | Supervised Learning | Tableau | The Loop | Tool-Calling | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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