About the Role
This position involves developing data-driven models to understand customer intent and power decision-making systems. The candidate will work on scalable machine learning solutions, collaborate with engineering and product teams, and translate business problems into analytical frameworks.
Responsibilities
- Design and implement machine learning models to predict customer behavior
- Develop algorithms that power automated decision systems
- Collaborate with data engineers to productionize models
- Analyze large datasets to uncover patterns in customer interactions
- Translate business requirements into quantitative problems
- Evaluate model performance using statistical methods
- Work with product teams to integrate insights into customer-facing features
- Optimize decision engines for scalability and accuracy
- Maintain documentation for models and analytical processes
- Stay current with advancements in machine learning and data science
- Present findings to technical and non-technical stakeholders
- Ensure data quality and integrity across pipelines
- Support A/B testing frameworks for model validation
- Apply natural language processing techniques when relevant
- Use statistical modeling to assess customer intent signals
- Contribute to the design of data collection strategies
- Monitor model performance in production environments
- Troubleshoot issues in data pipelines and model outputs
- Apply cloud-based data tools and platforms
- Follow best practices in model governance and reproducibility
Nice to Have
- PhD in a relevant technical field
- Experience in retail or e-commerce domain
- Background in behavioral analytics or customer journey modeling
- Knowledge of real-time decisioning systems
- Experience with feature stores and model monitoring tools
- Familiarity with deep learning frameworks
- Contributions to open-source data science projects
- Experience mentoring junior data scientists
- Published work in data science or machine learning venues
Work Arrangement
REMOTE
Team
Part of a data science and analytics team focused on customer behavior and decision systems
Why This Role Matters
- The insights generated directly influence how customers are engaged across digital platforms
- Models developed in this role help personalize experiences at scale
- Work impacts key business metrics including conversion and retention
- Opportunity to shape the future of data-driven decisioning in a large retail environment
What to Expect
- Remote work with flexible scheduling within business hours
- Collaboration via digital tools with cross-functional teams
- Regular code and model reviews
- Quarterly planning aligned with business objectives
Not specified
