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The Marketing Data Scientist provides technical leadership for data-driven marketing solutions that improve customer targeting, campaign performance, and client decision-making. This role leads the development and ongoing improvement of predictive models, audience strategies, marketing experiments, and measurement frameworks. Working across a cross functional team, the Marketing Data Scientist translates complex customer data into actionable recommendations, follows analytical best practices, and communicates findings clearly to client and executive audiences.

Primary Duties/Responsibilities:

• Develop sophisticated predictive models supporting customer targeting, response prediction, retention and other marketing use cases.
• Support models across the entire lifecycle including feature engineering, development, ongoing assessment and continuous improvement.
• Understand core marketing concepts and meaningfully contribute to marketing strategy discussions on behalf of clients.
• Ability to rapidly assess unfamiliar customer datasets, identify data-quality considerations, and recommend appropriate analytical solutions.
• Execute data preparation and campaign operations, including audience segmentation, list generation, file processing and data appends.
• Design marketing tests, lead test execution and develop measurement datasets for marketing campaigns.
• Leverage AI tools (e.g. Copilot, ChatGPT, Claude) to streamline workflows, automate repetitive tasks, and improve speed and accuracy.
• Collaborate cross-functionally with Marketing and Operations teams to deliver high-quality client outcomes.
• Adhere to the client standards for data security, governance, and operational excellence.
• Perform other related duties as applicable or assigned.

Required Skills/Abilities/Competencies:

• Demonstrated SQL and Python programming skills
• Experience working with large relational databases or analytical data platforms
• Experience applying data science to marketing, customer, or commercial business problems
• Ability to present analytical findings to a non-technical audience through reports, dashboards and presentations
• Ability to translate complex datasets into clear actionable insights by using data visualization and story-telling techniques

• Ability to manage multiple priorities in a fast-paced, production-oriented environment
• Curiosity and a mindset of continuous improvement

• Strong communication skills and ability to build relationships
• Understanding of Agile Project Management concepts is preferred
• Proficiency in Microsoft Office, especially Teams, Word, PowerPoint, and Excel

Education and Experience:

• Bachelor’s Degree in Data Science, Marketing Analytics, Statistics, or a related field (or equivalent experience)
• Experience applying advanced statistical and machine learning techniques, including regression, classification, experimental design and optimization
• 2+ years’ experience with Python (Pandas, NumPy, XGBoost, etc.) and SQL is required
• Experience with modern cloud platforms such as Snowflake or Databricks is required
• Experience with Business Intelligence tools such as Tableau or Power BI is required
• Familiarity with AI tools and applications in data workflows is preferred
• Knowledge of multi-channel marketing is preferred