Senior/Staff Data Scientist

Mudflap • Palo Alto, CA

99d • $178,000 - $250,000

About The Position

At Mudflap, we’re building a data-driven engine to power decisions across every part of our business. We’re looking for versatile Senior and Staff level 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. This role is based in Palo Alto, CA and involves a hybrid work approach, balancing in-office collaboration with the ability to work remotely.

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.
• Comfortable working in a fast-paced startup environment where collaboration and flexibility are essential.

Responsibilities

• Drive strategic product decisions through advanced analytics and experimentation.
• Design and execute A/B tests, build predictive models, and develop data-driven insights that directly impact product roadmaps and business outcomes.
• Partner closely with product managers, engineers, and leadership to identify opportunities, measure feature success, and optimize user experiences.
• 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.
• Lead the design and implementation of scalable data pipelines, attribution models, and measurement frameworks that power marketing optimization across channels.
• Own end-to-end data infrastructure including customer journey tracking, incrementality testing platforms, and real-time reporting systems.
• 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.
• Drive data-driven decision making across cross-functional partnerships.
• Mentor junior data scientists and analysts and establish best practices.
• Lead experimentation strategy and drive product innovation.

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!).

What This Job Offers

• Job Type: Full-time
• Career Level: Senior