Data Scientist (WFH)
Company: Torentify
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-10-04
About this role
# Principal Data Scientist
## About the Role
Forward Financing is seeking a Principal Data Scientist to set the technical vision for data science and lead the company’s highest-impact, most ambiguous initiatives from concept through production. As the most senior individual contributor on the data science team, you will shape the multi-year data science roadmap, define how models are developed and deployed across the organization, and serve as a trusted technical advisor to senior leadership.
This role combines deep technical execution with strategic business partnership. You will lead advanced statistical and machine learning initiatives across business domains, with a particular focus on credit risk, pricing, and loss forecasting. You will partner with Portfolio Strategy, Engineering, Product, Underwriting, Sales, and Collections to identify high-value opportunities and deliver measurable business impact.
## Key Responsibilities
\* Lead the design, development, and deployment of complex and high-stakes statistical and machine learning models, particularly in ambiguous problem spaces without established playbooks.
\* Drive end-to-end delivery of flagship data science initiatives from problem framing and model design through deployment, monitoring, and ongoing iteration.
\* Lead technical strategy and architecture for Forward’s modeling ecosystem, including credit risk, pricing, and loss forecasting.
\* Shape the long-term data science roadmap in partnership with senior leaders across Portfolio Strategy, Engineering, Product, Underwriting, Sales, and Collections.
\* Identify high-value data science opportunities and influence business strategy through data-driven insights.
\* Define and enforce organization-wide standards for model development, validation, code quality, and documentation.
\* Serve as the technical authority for data science design decisions.
**\* Mentor data scientists across experience lev...