Senior Data Scientist (Product)

Mudflap; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote-first company

Massive career growth opportunities

Flexible work arrangements

Job summary

Mudflap is seeking a data science leader to partner with Product, Engineering, Operations and Leadership to drive strategic product decisions through analytics, experimentation, and machine learning.

You will design and analyze A/B tests, develop predictive models, build data products, and uncover insights that influence product strategy and business outcomes. The role includes mentoring, cross-functional collaboration, and driving scalable data science practices.

Qualifications

• 5+ years of experience in data science, analytics, or related fields.
• Strong statistical knowledge and experience designing experiments (A/B testing, cohort analysis, causal inference).
• Proficiency in SQL and Python for data manipulation, modeling, and automation.
• 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.

Responsibilities

• 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 and translate business requirements into analytical solutions.
• Mentor junior data scientists and analysts and establish best practices.
• Own experimentation strategy and translate test results into actionable product improvements that impact key metrics.

Skills

Statistics

A/B testing

SQL

Python

Communication

Analytics domain (risk/growth/product)

Tools

Machine learning pipelines

Job description

• In this role, 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
• 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

• A flexible, remote-first company
• A team of talented individuals on a mission to change a $1 trillion industry for the better
• Opportunities and support for massive career growth
• A high bar for quality and commitment to self-improvement
• An open mind to new ideas and methodologies

• Strong statistical knowledge and experience designing experiments (A/B testing, cohort analysis, causal inference)
• Experience building production-ready models and pipelines
• 5+ years of experience in data science, analytics, or related fields
• Proficiency in SQL and Python for data manipulation, modeling, and automation
• 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