Senior Data Scientist, Product
At a glance
Senior Data Science role at Mudflap. Palo Alto · full-time · $185,000–$225,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Set data science priorities with senior leaders and pinpoint valuable opportunities in your area
- Take machine learning work from defining the problem through deployment, testing, validation and ongoing performance checks
- Build solutions for fraud risk, underwriting and customer segmentation challenges
- Work with product, engineering, operations and risk teams to turn business needs into analysis and explain findings to executives
- Guide junior data scientists and analysts, review code and lead A/B testing that informs product changes
What you bring
- At least five years working in data science, analytics or a related area
- You can use SQL and Python for data work, modeling and automation
- You have delivered production models and pipelines, and can design experiments using statistical methods
- You communicate complex findings clearly to both technical and non-technical audiences
Who this fits
This senior role suits someone who can lead machine learning and experimentation while mentoring junior colleagues. You’ll collaborate across teams in a hybrid role based in Palo Alto, California, splitting work between the office and remote work.
From the employer
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.
Company Overview (Who we are):
Mudflap is on a mission to transform the trucking and logistics industry by leveling the playing field for owner operators and small fleets. Backed by top-tier venture investors, including QED, Matrix Partners, Commerce Ventures, NFX, and 500 Startups and included in the Forbes Fintech 50 list, Mudflap offers fleet fuel management solutions. Our core team hails from Disney, Uber, Procore, DoorDash, Google, Meta, Capital One, Affirm and Brex.
Here are the core values that we believe in and look for in new teammates:
Be Customer Obsessed: We deeply understand customer needs and put our customers at the center of everything we do
Make it Count: Act like an owner by focusing on the impact of your work
Find a Way: Be a creative problem solver who pushes past roadblocks to win for our customers and our teammates
Sweat the Details: We keep our standards high and achieve them by paying attention to every detail
Be Curious: Use a growth mindset to question assumptions, take calculated risks and stretch the boundaries of what’s possible
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