• Champion cutting-edge machine learning and AI techniques to improve holistic client engagement, personalization, and overall growth. • Represent our core algorithmic capabilities in cross-functional forums, including with our executive leadership team, synthesizing business requirements and translating technical solutions with radical transparency and a solution-oriented mindset. • Lead and inspire a team building transformative capabilities at the heart of our company’s value proposition, synthesizing and balancing multiple business objectives. • Foster a culture of ownership for holistic business outcomes within the team, encouraging proactive engagement with cross-functional partners. • Drive the development and optimization of our prediction and recommendation algorithms, ensuring they provide personalized, relevant, and engaging fashion recommendations for stylists and clients. • Oversee the end-to-end algorithm development lifecycle—from ideation and experimentation to testing and deployment in a production environment. • Manage the prioritization and execution of key algorithmic projects while balancing business needs, technical feasibility, and timelines. • Implement industry best practices for team collaboration, code quality, use of AI, and data management. • Stay up-to-date with the latest trends and advancements in AI-assisted development, AI-enabled product experiences, machine learning, and fashion technology.

• lead a workstream within Caremark's sales and underwriting analytics portfolio — owning end-to-end delivery as a senior individual contributor, setting technical direction, and mentoring peers • own multiple concurrent projects across model development, strategic analysis, and analytics product delivery — framing the business question, designing the approach, building the solution, and presenting findings to senior stakeholders • set technical direction for your workstream, mentor junior data scientists, and partner directly with business leaders across sales, underwriting, and finance to turn analysis into action

• Build and maintain curated datasets using Databricks (Delta tables, jobs, SQL Warehouses) and SQL-based governed reporting tables. • Ingest and manage full pursuit lifecycle artifacts including RFPs, specifications, drawings, and addenda with proper metadata and version control. • Develop applied analytics solutions including: - Forecasting - Scenario modeling - Optimization (LP/MILP or practical heuristics) - Similarity modeling and benchmarking • Publish reliable datasets and insights for Tableau Cloud consumption with consistent business definitions. • Establish a closed-loop learning cycle by comparing design assumptions against operational outcomes to continuously improve benchmarks and estimate accuracy. • Partner cross-functionally with engineering, analytics, and solution design teams to improve automation decision-making at scale.

• Collaborate with business stakeholders to understand data needs and objectives. • Extract, clean, and preprocess data from various sources for analysis. • Develop predictive models, statistical analyses, and algorithms to solve complex business problems. • Build tools to automate data collection. • Create and maintain interactive dashboards and reports using Power BI. • Perform ad-hoc data analysis to support decision-making. • Conduct data exploration and visualization to identify trends and patterns. • Stay up-to-date with the latest industry trends and best practices in data analysis and Power BI.