Staff Machine Learning Scientist, Risk

Creditly Corp • San Francisco, CA

68d • Onsite

About The Position

Come join our AI/ML and Data Science community at Credit Genie! We are seeking a ML Scientist technical leader with a solid background in Machine Learning and the consumer risk domain, who is excited about solving challenging Machine Learning and Data Science problems and driving results while maintaining the highest bar for methodological rigor. In this role, you will have an opportunity to design and implement our company's next generation of Risk models that will have a vast impact across underwriting, fraud prevention and collections. These models are central to our business and have a direct impact on our customers every day. You will also design, execute, and evaluate new data acquisition processes as well as A/B tests and other experiments.

Requirements

• A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; an advanced degree is preferred
• 8+ years of hands-on experience in machine learning, data science, or advanced analytics
• Deep understanding of machine learning algorithms, statistical modeling, and data analysis techniques
• Strong problem-solving abilities, attention to detail, and a data-driven mindset
• Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences
• Proficiency in Python and common ML/data libraries (NumPy, pandas, scikit-learn, XGBoost, etc.)
• Experience with SQL and data platforms such as Snowflake, Databricks, and Tableau

Responsibilities

• Set the company's Risk Machine Learning roadmap in collaboration with our cross functional partners
• Own the end-to-end design and development of ML solutions that power our products' risk decisioning, driving both optimized risk outcomes and an exceptional customer experience
• Work with a growing team of AI/ML experts on the design and implementation of new Risk ML and feature engineering infrastructure
• Partner cross-functionally with Product, Analytics, Engineering, and business teams to generate actionable insights and build data-driven models that drive business impact
• Set and maintain the highest methodological standards for Data Science across the company
• Solve problems that have no clear existing solution and directly impact our customers

Benefits

• 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment.
• Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness
• 401(k) with a 2.5% match and immediate vesting
• Meal program for breakfast, lunch, and dinner
• Life and accidental insurance
• Flexible PTO

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 11-50 employees