Senior/Staff Data Scientist at Mudflap

Palo Alto, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Trucking, TransportationIndustries

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)

Responsibilities

Drive strategic data science initiatives that directly impact business outcomes, working closely with executive leadership to identify high-value opportunities in Product, Risk, or Growth domains
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
Product domain: Drive strategic product decisions through advanced analytics and experimentation; design and execute A/B tests, build predictive models, develop data-driven insights impacting product roadmaps; partner with product managers, engineers, and leadership
Risk domain: Identify, model, and mitigate credit and fraud risks; build underwriting capabilities for credit risk; develop predictive models to reduce fraud losses; partner with Product, engineering, and operations teams
Growth domain: Drive strategic growth insights through data architecture and advanced analytics; lead design and implementation of scalable data pipelines, attribution models, and measurement frameworks; own end-to-end data infrastructure including customer journey tracking, incrementality testing, and real-time reporting

Skills

A/B Testing

Predictive Modeling

Machine Learning

Advanced Analytics

Experimentation

Credit Risk Modeling

Fraud Detection

Underwriting

Mudflap

Mobile app for fuel savings and discounts

About Mudflap

Mudflap offers a mobile app and fleet card that help independent truck drivers and small fleet owners save money on fuel. The app allows users to access discounts at truck stops without a credit check and includes features like live support and receipt management. Unlike competitors, Mudflap partners directly with truck stops to provide savings, earning a commission only when users save money. The company's goal is to reduce fuel costs for its clients, making their operations more affordable.

Palo Alto, CaliforniaHeadquarters

2016Year Founded

$48.6MTotal Funding

SERIES_BCompany Stage

Automotive & TransportationIndustries

51-200Employees

Benefits

A flexible, remote-first company

Competitive salary and benefit options

Risks

AtoB's advanced features may attract Mudflap's customer base.

AtoB's partnerships could limit Mudflap's ability to negotiate favorable terms.

Increased competition from AtoB's no-fee fleet cards may impact Mudflap's market share.

Differentiation

Mudflap offers a free app with no credit check for fuel savings.

The company partners with truck stops to provide discounts to independent truckers.

Mudflap's business model aligns its profits with customer savings on fuel.

Upsides

Integration of telematics can enhance Mudflap's app with fuel purchasing insights.

Collaborating with telematics providers could offer advanced data analytics and fraud prevention.

Expanding partnerships with gas station chains could increase savings opportunities for users.

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