Job Overview
Location
Palo Alto, CA
Job Type
Full-time
Category
Data Science
Date Posted
June 13, 2026
Full Job Description
đź“‹ Description
- • Drive strategic data science initiatives that directly impact business outcomes by partnering with executive leadership to identify high-value opportunities in product analytics.
- • 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, and customer segmentation using advanced analytics and machine learning techniques.
- • Drive data-driven decision making across cross-functional teams including Product, Engineering, Operations, and Risk by translating complex business requirements into analytical solutions and communicating insights to executive stakeholders.
- • 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.
- • Mentor junior data scientists and analysts by providing technical leadership, conducting code reviews, and establishing scalable data science methodologies and organizational best practices.
- • Build production-ready data products and automated pipelines that enable scalable insights and real-time decision-making across the organization.
- • Collaborate closely with engineering and product teams to integrate predictive models into core product workflows, ensuring models are monitored, maintained, and iterated upon post-deployment.
- • Analyze large-scale transactional and behavioral data to uncover patterns, optimize user experiences, and identify growth opportunities within Mudflap’s marketplace platform.
- • Design and implement cohort analyses, causal inference studies, and statistical models to measure the impact of product features and business interventions.
- • Work in a hybrid environment based in Palo Alto, CA, balancing in-office collaboration with remote work to support team alignment and innovation.
- • Contribute to a high-growth startup culture where flexibility, collaboration, and ownership are essential to driving product innovation and business outcomes.
🎯 Requirements
- • 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.
🏖️ Benefits
- • 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!).
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Mudflap Inc.
Mudflap Inc. operates a mobile application that enables owner-operator truck drivers and small fleets to save on fuel at over 1,500 independent truck stops across the United States. Users reserve discounted fuel through the app, then pay instantly via mobile without needing fleet cards or credit checks. The company partners with fuel retailers to offer lower prices and earns revenue through merchant fees and data services. Founded in 2017 and headquartered in San Francisco, the platform also provides analytics and loyalty rewards to improve fuel purchasing efficiency for small trucking businesses.
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