Data Scientist - Digital

• Design and implement innovative machine learning and Gen AI solution for product and content discovery, personalization and customer engagement
• Develop and deploy generative AI solutions (e.g., language and vision models, agentic AI) to enhance and automate digital experiences
• Build predictive models (propensity, lifetime value, customer affinity, churn, etc.) and recommender systems tailored for e-commerce
• Apply advanced modeling techniques, including classification, generalized linear models, decision trees, time series forecasting, clustering, survival analysis, deep learning, and transformer-based architectures
• Integrate new data sources (internal and external) and modalities (clickstream, text, images, audio) into ML and Gen AI pipelines
• Identify and capitalize on opportunities to increase conversion rates, reduce costs, and drive revenue through data-driven solutions
• Serve as an advanced analytics subject matter expert (SME) for the broader analytics team
• Identify cross-channel and cross-platform optimization opportunities for customer, product, market, promotions, and pricing strategies
• Champion data-informed decision-making and proactively seek innovative ways to leverage data and analytics
• Ensure data integrity and a single source of truth
• collaborate with Data Engineers to develop scalable solutions
• Stay abreast of emerging trends in Gen AI, ML, and digital analytics, and share best practices with the team

• Bachelor's Degree or related experience
• Proficiency in SQL, Python, and R
• Familiarity with big data platforms, cloud-based ML/AI services, and MLOps best practices
• Experience using foundational text/vision/multimodal models, finetuning foundational models and familiarity with generative AI frameworks (e.g., Hugging Face, Google Vertex AI, Azure AI foundry, LangChain) is highly desirable
• Strong communication skills, with the ability to explain complex technical concepts to both technical and business audiences
• Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed
• Commitment to continuous learning and professional growth in the rapidly evolving field of digital and Gen AI analytics
• Must perform well in high pressure situations, balance competing priorities, and demonstrate the ability to work without direct supervision

Experience with Databricks and MLflow is preferred

• Incentive bonus program
• 401(K) savings plan with company match
• Annual companywide review process
• Flexible spending accounts
• Medical, dental and vision insurance
• Life and disability insurance
• Associate assistance program
• Paid parental and adoption leave
• Access to fertility and adoption benefits through Carrot
• Access to mental health and wellness app, Headspace
• Paid Caregiver Leave
• Mobile Stipend
• Paid time off and one paid volunteer day per year
• Work from anywhere (Mondays and Fridays are “work from anywhere” days for most roles and six work from anywhere weeks per year)
• Seven associate wellness half days per year
• Merchandise discount on all of our brands
• Opportunities for career advancement
• Access to multiple Associate Resource Groups