Marketing Data Scientist, Measurement & Modeling

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.

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** :
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.
** 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, 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. 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.
** 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 tools and/or machine learning systems in real-world business settings.

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