The company is looking to champion the consumer experience across all online channels through data driven strategies, applying advanced analytic data modeling and machine learning to all areas of the digital business to drive KPI optimization.
Requirements
- Strong technical foundation in SQL, Python, and/or R (experience with SAS a plus); advanced proficiency in statistical modeling, machine learning, and experimental design.
- Hands-on expertise with cloud platforms (AWS, GCP, Azure), big data tools (Spark, Databricks, Snowflake), ML frameworks (scikit-learn, TensorFlow, PyTorch), and data visualization tools (Tableau, Power BI, Looker).
- Skilled in web analytics platforms (Google Analytics, Omniture) and translating digital KPIs into actionable business insights.
- Familiarity with MLOps, CI/CD pipelines, containerization (Docker, Kubernetes), and version control (Git).
- Expertise with Google Analytics, AB Testing platforms, MMM tools (Liftlab a plus), Optimizely, Data Intelligence/Warehouses, CDPs, SFCC and social analytics/reporting
- General affinity towards web technology and IT process
- Experience with data warehouses and architecture familiarity
Responsibilities
- Lead the creation and implementation of best practices for statistical modeling, machine learning, and advanced analytics to support the Digital Americas business.
- Oversee the design, development, and deployment of predictive and AI/ML models (e.g., churn prediction, price elasticity, LTV forecasting) that drive measurable business impact.
- Provide hands-on technical leadership in data science, machine learning, and data engineering; contribute to model design, algorithm development, and scalable MLOps practices.
- Collaborate with Global teams to assess and enhance overall data architecture, ensuring alignment with strategic goals.
- Champion the prioritization of Americas requests in Globally owned systems, from ticket/request development through proper implementation, QA and rollout
- Lead the integration of Americas third party tools with DWH, Liftlab and any other Analytics team-led systems.
- Partner with Digital Americas stakeholders to optimize data collection, define actionable insights, and guide data-driven decision-making.
Other
- Retail background required
- Must have retail in background preferably Apparel or shoes
- High degree of customer focus.
- High online affinity, understanding of digital environment and analytic tools.
- Comfortable in and adaptable to rapidly changing conditions.
