Job Description

FleetPride is seeking a highly analytical, curious, andresults-drivenmarketingdata scientist tojoin ourmarketingteam. In this role, you will help shape marketing and commercial strategy through advanced analytics, machine learning, experimentation, and modern AI-enabled tools. A critical focus of this position is solving the "Online-to-Offline" puzzlebydeveloping sophisticated models to connect digital engagement with physical outcomes across our national network of retail branches and service centers

You will work across a wide range of initiatives, including customer acquisition, retention, segmentation, promotion optimization, forecasting, and marketing effectiveness. The ideal candidate brings strong statistical and technical skills, a practical business mindset, and the ability to translate complex data into actionable recommendations. This role will also help advance FleetPride’s use of modern data science capabilities, including cloud-based modeling, ML workflows, generative AI tools, and privacy-aware measurement.

This role focuses on measurement, experimentation, and analytical decisionpartnershiprather than day-to-day media buying or primary ownership of marketing-platform administration.

Responsibilities

• Experimentation & Measurement Lead test design and analysis, including A/B testing, market selection, incrementality testing,media mix modeling,holdout design, and final readouts to measure business impact.

• Business Partnership Collaborate closely with marketing, ecommerce, and other digital business stakeholders to solve problems, identify opportunities, and drive data-informed decisions.

• Reporting and AnalyticsEstablish and maintain reporting and performance review KPIs such as ROAS, CPA, LTV,unit economicsand contribution metrics across both customer acquisition and retention.

• Data & Platform IntegrationPartner with IT teams to define data requirements, validate data quality, and enable reliable datasets from GA4/BigQueryand advertising platforms for analysis, measurement, and decision-making.

• Predictive & Analytical ModelingDevelop and adapt predictive, statistical, and optimization modelsto support initiatives across customer acquisition, activation, engagement, retention, promotion planning, and channel performance.

• AI & Advanced AnalyticsApply modern AI and machine learning techniques, including LLM and generative AI tools where appropriate, to improve analysis, workflow efficiency, insight generation, and decision support

• Data Science ExecutionExecute end-to-end projects by scoping business objectives, designing analytical approaches, building models, validating results, and delivering measurable solutions.

• Insight CommunicationCommunicate findings clearly through visualizations, presentations, and written summaries, translating complex analyses into practical business recommendations.

Qualifications& experience

• 3+ years of relevant professional experience applying advanced analytics or data science to business problems with measurable impact.

• Strong knowledge of statistical methods, hypothesis testing, regression analysis, causalinference, forecasting, and experimental design.

• Demonstrated ability to independently scope, prioritize, and deliver analytical work with limited day-to-day technical oversight.

• Hands-on experience working with large, complex datasets and building predictive models in cloud or distributed computing environments.

• Proficiency in PythonandSQLfordata analysis, modeling, and workflow development.

• Experience with cloud-hosted data platforms such as Google Cloud Platform, AWS, or similar environments.

• Familiarity with marketing analytics, customer behavior analysis, campaign measurement, customer segmentation, and customer lifecycle concepts.

• Comfort collaboratingwith ITon tracking and data pipelines, includingserver-sidetracking, conversion APIs, and Online-to-Offline measurement

• Experience translating ambiguous business questions into structured analytical plans and practical solutions.

• Proven ability to quickly learn and leverage emerging marketing technologies, particularly AI-basedmeasurement andoptimizationmodels

• Strong communication skills, with the ability to work cross-functionally and explain technical concepts to business stakeholders.

• Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Economics, Operations Research, or a related field; advanced degree preferred.

PREFERRED QUALIFICATIONS

• Experience supporting ecommerce, retail, distribution, or other customer-focused commercial organizations.

• Experience with marketing measurement, attribution, incrementality testing, media optimization, or promotion analytics.

• Experience measuring marketing impact across both digital and offline outcomes, including branch visits, phone calls, and offline revenue.

• Experience building reusable analytical workflows and collaborating IT to operationalize high-value outputs.

• Familiarity with web tracking, digital analytics, and modern measurement frameworks such as GA4, conversion APIs, or privacy-aware analytics environments.

• Experience with AI toolsand/or machine learning systems in real-world business settings.

• Knowledge of data visualization and BI platforms such as Power BI, Looker, or similar tools.

About FleetPride

FleetPride is the nation's largest distributor of truck and trailer parts and service in the independentheavy dutyaftermarket. Our network includes retail, service, distribution, and wholesale divisions,all working together to deliver unmatched value to our customers.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.