Data Scientist - Feature Engineering
Tasks
- Build and maintain data pipelines
- Communicate findings to researchers and leadership
- Design and implement predictive features
- Experiment with AI coding assistants and agentic workflows
- Integrate features into production systems
- Monitor data health and correctness
- Perform anomaly root cause analysis
- Profile and curate complex datasets
- Validate features with statistical testing
Perks/Benefits
- 401k match
- Daily catered lunches
- Life insurance
- Medical/Dental/Vision insurance
- Modern office
- Paid time off
- Sick days
- Technology talks
Skills/Tech-stack
Agentic Workflows | Bash | Cause analysis | Coding assistants | Cross-sectional analysis | Data Analysis | Data Pipelines | Data Quality | Data quality monitoring | Exploratory Data Analysis | Feature Engineering | Git | LLM Coding Assistants | LLM coding | Language Models | Language Processing | Large Language Models | Linux | Machine Learning | Natural Language | Natural Language Processing | Pandas | Polars | Python | Quality monitoring | Root Cause Analysis | Root cause | SQL | Series analysis | Stationarity Testing | Statistical validation | Time Series | Time Series Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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