Senior Data Scientist, Product
About The Position
Mudflap is seeking a versatile Senior Data Scientist, Product to join their high-impact team. This role is crucial in building a data-driven decision engine that powers all aspects of the business, including product development, customer experience, growth, and operational excellence. The Senior Data Scientist will partner closely with Product, Engineering, Operations, and Leadership to drive strategic product decisions through advanced analytics, experimentation, and machine learning. Responsibilities include designing and analyzing A/B tests, developing predictive models, building data products, and uncovering actionable insights that influence product strategy and business outcomes. The work will directly impact the trajectory of the platform by identifying growth opportunities, measuring feature success, and optimizing user experiences.
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 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
Benefits
- 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
- 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!)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
