Leveraging vast customer, sales, and campaign data to generate actionable insights that optimize marketing spend, personalize customer experiences, and drive profitable growth.
Requirements
- Experience with a wide variety of machine learning techniques (e.g., regression, classification, clustering, deep learning).
- Familiarity with causal inference methods, time series analysis, and forecasting techniques.
- Ability to assess model robustness by selecting, interpreting, and comparing appropriate performance metrics (e.g., accuracy, precision, recall, F1, AUC)
- Strong foundational knowledge of core marketing concepts (e.g., CPA, ROAS, LTV, attribution, segmentation).
- Demonstrated ability to apply data science to solve real-world marketing or business challenges.
- Strong technical skills including SQL and either Python or R.
- Familiarity with common AI tools and frameworks such as HuggingFace, transformers, pytorch, RAG, etc.
Responsibilities
- Develop, validate, and maintain a core set of Marketing models, including customer lifetime value, churn prediction and retention modeling, next best offer recommendations, and customer segmentation.
- Apply advanced analytics, causal inference, experimentation, machine learning and AI techniques for given business problems related to customer behavior and marketing personalization.
- Support the design, analysis, and interpretation of marketing campaign tests, including A/B tests, controlled experiments, and geo-tests.
- Proactively perform data exploration on customer behaviors to discover future opportunities.
- Collaborate with Data Engineering and IT teams to ensure data quality, accessibility, and the implementation of models into production environments.
- Translate complex analytical findings into clear, concise, and compelling narratives for non-technical stakeholders, including marketing leaders and executive teams.
Other
- The ideal candidate will also be able to understand and communicate how the work they do fits into the business context and business goals.
- Cultivate strong partnerships with cross-functional stakeholders from marketing, merchandising, and IT
- Travel: Up to 5%
- Flex Designation: Anywhere
- Ability to communicate clearly with both technical and non-technical audiences
