Lead machine learning projects, own full cycle scorecard design and development, deploy new models, and collaborate with internal customers and partners.
Requirements
- University degree in STEM or data science
- Postgraduate degree in mathematics, statistics, data science or similar disciplines preferred
- Three plus years of professional experience focused on developing predictive scorecards and building ML models from real-world data
- Solid understanding of machine learning steps and modeling metrics
- Proficient in SQL, Python, and SAS programming language
- Experience with machine learning libraries like Pandas, XGBoost, scikit-learn, LightGBM or other similar ecosystems
- Hands-on exposure to modeling platforms like Enterprise Miner, Analytics Workbench or SPSS Modeler is a plus
- Comfortable with cloud-based data structures and tools like Azure, AWS and Databricks is a plus
- Background in manipulating large relational databases with detailed and granular information
Benefits
- Comprehensive benefits
- Retirement programs
- Performance incentives
- Continuing Education Programs
- Other perks to support your well-being
- Career growth opportunities
- Product discounts