Principal Data Scientist

🕒 September 21

🇺🇸 United States – Remote

💵 $208k - $286k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Forward Financing

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

💸 Finance

💳 Fintech

🤝 B2B

💰 $250M Debt Financing on 2021-05

Finance • Fintech • B2B

Forward Financing is a company that provides fast and flexible financing solutions for small businesses. They specialize in offering capital to small businesses that may struggle to secure funding from traditional financial institutions. With a simple application process, businesses can receive funding decisions within hours and may have funds transferred the same day. Their revenue-based financing model allows payments to adjust with the business's revenue. Forward Financing aims to provide clear and transparent terms, ensuring customer satisfaction and trust. They have been recognized for their excellent service and are rated highly by small business owners.

📋 Description

• Set the technical vision for data science at Forward Financing • Drive the highest-impact and most ambiguous data science initiatives from concept to production • Shape the multi-year data science roadmap • Define how models are built and deployed across the organization • Serve as a trusted technical advisor to senior leadership • Lead design, development, and deployment of complex, high-stakes statistical and machine learning models • Lead end-to-end delivery 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 • Partner with Portfolio Strategy, Engineering, Product, Underwriting, Sales, and Collections to identify opportunities and influence business strategy • Define and enforce standards for model development, validation, code quality, and documentation • Make organization-wide technical design decisions • Mentor data scientists at all levels, including senior and lead team members • Communicate technical concepts, tradeoffs, and business implications to executives and non-technical stakeholders • Represent data science in strategic planning • Architect and evolve production machine learning pipelines and monitoring frameworks

🎯 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 experience • Advanced statistical and machine learning techniques, including generalized linear models, gradient boosting, and deep learning • Proven track record leading high-impact data science initiatives from ambiguity to production with demonstrated business results • Experience with real-time models, decisioning engines, and production-grade machine learning pipelines preferred • Expert in Python, SQL, and Git • Experience designing and deploying models within a cloud platform such as AWS or SageMaker, including architectural decision-making • Experience with workflow orchestration tools such as Metaflow preferred • Strong foundation in statistics and machine learning • Ability to influence technical direction across teams and mentor senior technical talent • Excellent project management and communication skills, including executive presentations • Strong critical-thinking and problem-solving ability • Nice-to-have experience with cloud data warehouses such as Snowflake and Databricks, Arize, Metaflow, SageMaker, decision engines such as Taktile, and feature stores such as Tecton • Bachelor's degree in Financial/Applied Math, Operations Research, Economics, and/or Statistics; Master's/PhD is a plus • Authorization to work for any employer in the US • Must disclose whether future visa sponsorship will be required

🏖️ Benefits

• Flexible work location: home, office, or combination of both • Flexible hours • Medical benefits • Dental benefits • Vision benefits • Commuter benefits • Flexible time-off policy • Paid parental leave • 401k match for US employees • Wellness reimbursement • Volunteering days • Annual professional development budget • Charitable donation match • Virtual and in-person team events • Potential additional 12% annual bonus