Senior Data Scientist, Product

At Mudflap, we're modernizing the $1 trillion trucking industry, the backbone of the U.S. economy. By helping over 100,000 underserved small businesses save over $1.5 billion on fuel, Mudflap has quickly grown into a profitable fintech platform that processes billions in annual payment volume.

We’re building a data-driven decision engine that powers every aspect of our business—from product development and customer experience to growth and operational excellence. We’re looking for a versatile Senior Data Scientist, Product to join our high-impact team.

As a Senior Data Scientist, Product, you’ll partner closely with Product, Engineering, Operations, and Leadership to drive strategic product decisions through advanced analytics, experimentation, and machine learning. You’ll design and analyze A/B tests, develop predictive models, build data products, and uncover actionable insights that influence product strategy and business outcomes. From identifying growth opportunities to measuring feature success and optimizing user experiences, your work will directly impact the trajectory of our platform.

Work Location: This role is based in Palo Alto, CA and involves a hybrid work approach, balancing in-office collaboration with the ability to work remotely.

To support our team, we offer:

• Commuter benefits to ease your travel
• Lunches and snacks to keep you fueled
• A collaborative, high-growth environment where you’ll work closely with talented teammates across the company

What You’ll Do

• Drive strategic data science initiatives that directly impact business outcomes, working closely with executive leadership to identify high-value opportunities in your domain.
• Lead end-to-end machine learning projects from problem formulation through production deployment, including model development, validation, A/B testing, and performance monitoring. solve high-impact business problems such as fraudulent risk assessment, underwriting, customer segmentation, etc.
• Drive data-driven decision making across cross-functional partnerships — Collaborate closely with Product, Engineering, Ops, Risk teams, etc. to translate complex business requirements into analytical solutions and communicate insights to executive stakeholders
• Mentor junior data scientists and analysts and establish best practices — Provide technical leadership, code reviews, and strategic guidance while developing scalable data science methodologies and standards across the organization
• Lead experimentation strategy and drive product innovation — Own end-to-end A/B testing frameworks, mentor teams on experimental design, and translate test results into actionable product improvements that directly impact key business metrics

What We’re Looking For

• 5+ years of experience in data science, analytics, or related fields.
• Proficiency in SQL and Python for data manipulation, modeling, and automation.
• Experience building production-ready models and pipelines.
• Strong statistical knowledge and experience designing experiments (A/B testing, cohort analysis, causal inference).
• Excellent communication skills—ability to present complex insights clearly to technical and non-technical stakeholders.
• Experience in at least one of the domains: risk, growth/marketing, or product analytics preferred.
• Comfortable working in a fast-paced startup environment where collaboration and flexibility are essential.

Perks and Benefits (What we offer):

• Competitive salary and equity in a high-growth startup
• Multiple health benefit options
• Responsible Time Off
• 401(k) matching
• Opportunities and support for major career growth
• Annual Company offsite event (Mudfest!)

The salary range for this role is $190,000 - $240,000. This information reflects a base salary range for this position based on current market data, which may be subject to change as new market data becomes available. The candidate's skills, experience, and other relevant factors will determine the exact compensation.