Data Scientist
Summary
Data Scientist at Lunar building machine learning models for customer risk scoring, fraud detection, loan risk, and transaction monitoring. Day-to-day work spans feature engineering, designing and deploying ML models, building evaluation and experimentation frameworks, and integrating ML/GenAI advances with data engineers and business stakeholders.
- Build customer risk scoring models
- Build evaluation frameworks
- Build experimentation frameworks
- Build machine learning models
- Build sales and lead generation models
- Collaborate with business stakeholders
- Collaborate with data engineers
- Deploy machine learning models
- Design machine learning models
- Develop fraud detection models
- Develop loan risk models
- Develop transaction monitoring models
- Document models and results
- Evaluate model benchmarks
- Integrate ML and GenAI advances
- Perform data analysis
- Perform feature engineering
- Translate technical concepts into business insight
Perks/Benefits:
- Enhanced parental leave
- Health insurance
- Office based 4 days per week
- Pension
- State of the art Equipment Provided