Marketing Data Scientist, Measurement & Modeling

Our client is seeking a highly analytical curious and results-driven marketing data scientist to join our marketing 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 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.

• Experimentation & Measurement: Lead test design and analysis including A/B testing market selection incrementally 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/BigQuery 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.
  

• 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.
  
• 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 learn quickly 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.
  
• Bachelors 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 incrementally 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.