Data Science Lead for Financial Progress

1 month ago


San Francisco, California, United States Menlo Ventures Full time

At Chime, we're passionate about developing innovative solutions to empower people to achieve financial progress. As a Data Science Lead, you'll play a pivotal role in creating data-driven approaches that transform how millions of users manage and grow their financial lives.

About the Role
  • You will lead cross-functional initiatives to deliver impactful machine learning solutions that enhance member experiences, focusing on credit and lending products.
  • Manage and inspire a talented team, driving the development of innovative credit insights and risk assessment solutions that impact millions of customers.
  • Oversee the end-to-end development and deployment of advanced machine learning models to improve the accuracy, fairness, and inclusivity of credit assessments.
  • Collaborate with Legal and compliance in regards to fair lending practices and model governance.

We believe that everyone can achieve financial progress, and we're committed to providing members with access to liquidity, rewards, and credit building. Our easy-to-use tools and intuitive platforms give members the ability to have more control over their money and take action toward achieving their financial ambitions.

Salary: The base salary offered for this role will begin at $198,990.00 and up to $281,900.00, depending on location, skills, qualifications, and experience.

What You'll Do
  1. Leverage transactional and financial data to improve access to capital for loan applicants and enhance member financial security.
  2. Champion a data-driven approach to decision-making across the organization.
  3. Make critical long-term decisions regarding machine learning processes and best practices.
  4. Collaborate with product managers, engineering, and other stakeholders to shape the product roadmap and define project goals.

As a seasoned Data Science Manager, you'll have 7+ years of industry experience developing machine learning models for credit risk products from inception to production. You'll also have 5+ years of managerial experience in data science and machine learning, with a track record of leading teams to deliver impactful solutions.

What We're Looking For
  • Strong expertise in credit and lending risk assessment, with experience building and deploying models that meet regulatory requirements.
  • Deep understanding of modern AI/ML techniques, including classification, clustering, optimization, deep learning, and natural language processing.
  • Excellent product intuition and a passion for working iteratively in a fast-paced environment.
  • M.S. or Ph.D. in Machine Learning or a related STEM field, with hands-on experience building production ML pipelines, from development to deployment, at scale.
  • Proficiency in Python and intermediate to advanced knowledge of SQL, with the ability to wrangle data from diverse sources.


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