Senior Data Scientist

🇺🇸 Palo Alto, California
$2K - $2K Annual
Posted 1 day ago
Expires May 30, 2026
Full TimeHybridData Science

Mudflap serves the $800B trucking industry, the backbone of the U.S. economy. Our market-leading payment products help truckers save thousands of dollars on fuel (their #1 business expense), while providing our fuel stop partners with access to new, hard-to-reach customers. We’re a fast-growing marketplace business looking for a new customer-obsessed teammate to join us on this exciting journey.

About the Role
At Mudflap, we’re building a data-driven engine to power decisions across every part of our business. We’re looking for versatile Senior Data Scientists to join our small, high-impact analytics and ML team. You’ll work closely with product, engineering, operations, and cross-functional partners to build data products, ML models, run experiments, and deliver insights that directly influence our growth and product strategy.

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

We’re hiring for two key domains—Risk and Pricing —so you can apply your skills where you’re most passionate:

What You’ll Do

Risk:
Identify, model, and mitigate credit and fraud risks across our platform. Build and strengthen our underwriting capabilities for credit risk, and develop predictive models to reduce fraud losses. Partner with Product, engineering and operations teams to implement scalable risk strategies.

Pricing:

Drive strategic pricing decisions with rigorous analytics and modeling. Build price and elasticity models, estimate willingness-to-pay, design and analyze pricing experiments (A/B and incrementality), and deliver actionable insights on revenue, margin, and churn—partnering with Product, Finance, and Revenue Ops to turn models into...

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