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Forward Financing

Merchant cash advances for small businesses

Principal Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Deep experience building and deploying credit risk models, especially underwriting models, in fintech, lending, or financial services.
  • 10+ years of hands-on model development and deployment using advanced statistical and machine learning techniques such as generalized linear models, gradient boosting, and deep learning.
  • A proven track record of leading high-impact data science initiatives from ambiguity to production, with demonstrated business results.
  • Expertise in Python, SQL, and Git.
  • Experience designing and deploying models within a cloud platform, such as AWS or SageMaker, including architectural decision-making.
  • A strong foundation in statistics and machine learning.
  • Demonstrated ability to influence technical direction across teams and mentor senior technical talent.
  • Project management and communication skills, including experience presenting to executive audiences.
  • A bachelor's degree in Financial or Applied Mathematics, Operations Research, Economics, and/or Statistics.

Responsibilities

  • Set the technical vision for data science and drive high-impact, ambiguous initiatives from concept to production.
  • Shape the multi-year data science roadmap, define how models are built and deployed across the organization, and serve as a technical advisor to senior leadership.
  • Lead design, development, and deployment of complex, high-stakes statistical and machine learning models, particularly in ambiguous problem spaces.
  • Drive end-to-end delivery of data science initiatives, from problem framing and model design through deployment, monitoring, and iteration.
  • Lead technical strategy and architecture for the modeling ecosystem, including credit risk, pricing, and loss forecasting, ensuring scalability and business impact.
  • Partner with leaders across Portfolio Strategy, Engineering, Product, Underwriting, Sales, and Collections to shape the data science roadmap, identify high-value opportunities, and influence business strategy with data.
  • Define and enforce organization-wide standards for model development, validation, code quality, and documentation; serve as technical authority on design decisions.
  • Mentor data scientists at all levels, including senior and lead team members, to raise technical standards and foster continuous learning.
  • Communicate technical concepts, tradeoffs, and business implications to executives and non-technical stakeholders, and represent data science in strategic planning.
  • Architect and evolve production machine learning pipelines and monitoring frameworks to ensure models are reliable, scalable, and continuously improving.

Desired Qualifications

  • Experience with real-time models, decisioning engines, and production-grade machine learning pipelines.
  • Experience with workflow orchestration tools such as Metaflow.
  • Experience with cloud data warehouses such as Snowflake or Databricks, Arize, Metaflow, SageMaker, decision engines such as Taktile, or feature stores such as Tecton.
  • A master's degree or PhD.

About the Company

Forward Financing

Merchant cash advances for small businesses

Forward Financing provides fast, flexible funding to small businesses in the United States through non-bank lending. Its main product, a merchant cash advance, gives a lump sum in exchange for a percentage of future sales, enabling approvals often within 24 hours. It differentiates itself by using cash flow rather than credit history to assess eligibility, emphasizing speed, flexible repayment tied to sales, and regulatory compliance. Its goal is to expand access to capital for small businesses by offering quick, compliant funding through the alternative lending space.

Company size
501-1,000
Company stage
Debt Financing
Total funding
$1.1B
Headquarters
Boston, MA
Founded
2012

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