Marketing Data Scientist, Measurement & Modeling

Fleet Pride is the largest after-market distributor of heavy-duty truck and trailer parts in the U.S. with some of the best and brightest people in the business! Partner with the best in the heavy-duty industry and apply today!

Fleet Pride is seeking a highly analytical, curious, and results-driven marketing data scientist to join our marketing team. 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" puzzle by developing 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 Fleet Pride’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 decision partnership rather 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 Analytics:
Establish and maintain reporting and performance review KPIs such as ROAS, CPA, LTV, unit economics and contribution metrics across both customer acquisition and retention.

Data & Platform Integration:
Partner with IT teams to define data requirements, validate data quality, and enable reliable datasets from GA4/Big Query and advertising platforms for analysis, measurement, and decision-making.

Predictive & Analytical Modeling:
Develop and adapt predictive, statistical, and optimization models to support initiatives across customer acquisition, activation, engagement, retention, promotion planning, and channel performance.

AI & Advanced Analytics:
Apply 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 Execution:
Execute end-to-end projects by scoping business objectives, designing analytical approaches, building models, validating results, and delivering measurable solutions.

Insight Communication:
Communicate findings clearly through visualizations, presentations, and written summaries, translating complex analyses into practical business recommendations.

Qualifications & experience3+ 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, causal inference, 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 Python and SQL for data 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 collaborating with IT on tracking and data pipelines, including server-side tracking, 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-based measurement and optimization models.

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…