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Staff Data Scientist

San Francisco

SpringCube

Full-time - Senior Engineer

Software, SaaS, Cloud & Infrastructure

Posted 1 week ago

$200,000 - $250,000

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Job Description

This job was selected by the SpringCube team to help AI, Data and Cloud Engineers discover relevant San Francisco Bay Area employers. Sign up to view the full employer details and apply directly with the hiring company.

Company Overview

The employer is a next-generation financial services organization and national bank that uses mobile-first technology, data, and financial products to help millions of members manage their finances and achieve their financial goals.

Job Description

The organization is seeking a Staff Data Scientist to identify opportunities and collaborate across functions to develop, implement, and continuously improve machine learning models and strategies supporting credit underwriting.

The role focuses on applying artificial intelligence and advanced machine learning techniques to complex business challenges while ensuring models meet rigorous risk management, fair lending, and regulatory requirements.

The Staff Data Scientist will work closely with teams across Credit, Product, Engineering, Risk, and Business Units to develop and deploy models, evaluate emerging data sources and technologies, and communicate analytical findings to senior stakeholders.

Job Duties

  • Identify opportunities and collaborate cross-functionally to develop, implement, and continuously improve machine learning models and strategies that support credit underwriting.
  • Identify opportunities to apply AI and advanced machine learning approaches to solve complex business problems.
  • Evaluate alternative data sources and external vendor solutions by defining and leading proof-of-concept projects that demonstrate potential business value.
  • Explore and leverage in-house, external, and open-source machine learning software and algorithms.
  • Contribute to enhancements of the risk model development codebase by developing customized Python scripts and packages.
  • Collaborate with Model Risk Management and Fair Lending teams to demonstrate that models are developed with a high level of rigor and satisfy applicable model risk management, fair lending, and other regulatory requirements.
  • Lead model deployment efforts by collaborating with cross-functional teams, including Credit, Product, Engineering, and Business Units.
  • Present model performance, analytical insights, and recommendations to Credit, Risk, and Business Unit leaders.
  • Full-time telecommuting is an option.

Requirements

  • Master’s degree in Statistics, Data Science, or a related quantitative discipline and 5 years of experience in the job offered or a related occupation; or
  • Bachelor’s degree in Statistics, Data Science, or a related quantitative discipline and 7 years of experience in the job offered or a related occupation.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a specialist career platform for AI, Data & Cloud Engineering professionals, connecting top ML, data, and cloud talent with leading tech employers hiring across the San Francisco Bay Area.

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Company & Contact

SpringCube Tech Jobs Pte Ltd
  • 10 Anson Road #33-04A
    International Plaza
    Singapore 079903
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