Lead, Machine Learning Researcher
3 days ago
WHO YOU ARE:
- Are naturally curious in exploring and testing new algorithms and frameworks
- Can distill complex results or processes into simple, clear visualizations
- Not satisfied with purely black-box solutions, with a bias toward model explainability
- Have a portfolio of practical machine learning code implementations and deep understanding of modern machine learning principles
- Research and develop machine learning models tackling problem domains such as credit scoring, personalization, fraud detection, entity resolution, etc.
- Discover new applications of machine learning and AI to solve emerging business needs
- Collaborate with data strategists and machine learning engineers to deliver end-to-end AI solutions to business teams
- Publish and share research internally within the Advanced Analytics team and to the broader business teams
- 2 years experience in an equivalent or functionally similar data role.
- An undergraduate degree preferably in Statistics, Computer Science, Physical Science, Economics, or a related technical field. A graduate degree is a plus.
- A strong and demonstrable understanding of SQL and Python or R for advanced analysis.
- A strong and demonstrable understanding of machine learning with big data. Expertise in one or more areas among recommender systems, forecasting, NLP, network science, and reinforcement learning is a big plus.
- Familiarity with data cloud services surrounding analytical and automation functions.
- Familiarity with version control software such as git.
- A talent for research and the presentation of interpretable insights
Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package
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