Data Science Manager Lead

4 days ago

San Francisco, California, United States Chime Full time

**About the Role**

 

We are seeking an experienced Data Science Manager to lead our Financial Security products team in developing innovative credit and lending models. As a key member of our Data Science and Machine Learning team, you will be responsible for creating data-driven solutions that improve customer satisfaction and business outcomes.

 

The ideal candidate will have 7+ years of industry experience developing machine learning models for credit risk products, with a proven ability to tailor solutions to real-world business challenges in a cross-functional environment. They will also have 5+ years of managerial experience in data science and machine learning, with a track record of leading teams to deliver impactful solutions.

 

**Key Responsibilities**

  • Lead cross-functional initiatives to deliver impactful machine learning solutions that enhance member experiences, with a focus 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.
  • Play a key role in shaping the credit team's strategic direction and ensuring alignment with Chime's broader business goals.
  • Leverage transactional and financial data to improve access to capital for loan applicants and enhance member financial security.
  • Champion a data-driven approach to decision-making across the organization.
  • Make critical long-term decisions regarding machine learning processes and best practices.

 

**What We're Looking For**

  • Experience building and deploying models that meet regulatory requirements with respect to model governance and fair lending.
  • Strong expertise in credit and lending risk assessment, with a 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.

 

**Salary Range**: $198,990 - $281,900 per year, based on experience and location. This is a competitive salary range, reflecting the high level of expertise and experience required for this role.

 

**Benefits**

  • A thoughtful hybrid work policy that combines in-office days and remote work, depending on location.
  • Competitive salary based on experience.
  • 401k match plus great medical, dental, vision, life, and disability benefits.
  • Generous vacation policy and company-wide paid days off.
  • 1% of your time off to support local community organizations of your choice.

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