Lead Director Data Science - Pricing and Promotions

• Drive and execute the short- and long-term data science roadmap and vision in partnership with the product managers, solution delivery, and software development teams
• Develop and leverage in-depth knowledge of Retail Merchandising business processes to translate key drivers of business value to analytics opportunities
• Align business objectives with the data science objectives to define success metrics
• Oversee the development and deployment of advanced analytical models
• Lead, mentor, and grow a team of data scientists specialized in econometric modeling, forecasting, and optimization, foster a culture of innovation, collaboration, and professional development
• Set and monitor model performance metrics, and team OKRs
• Communicate progress, roadmap, and technical design decisions to a range of technical and non-technical audiences
• Guide and influence model decisions
• Stay abreast of industry trends, emerging methodologies, and best practices in retail pricing and promotions to drive continuous innovation, including generative models and AI

• 10+ years of work experience in retail or a related field
• In depth understanding of merchandising (price, promotion, assortment) concepts and metrics in retail
• At least 5 years of experience in a leadership role, leading Data Science teams in a product-based organization
• Demonstrated expertise in optimization techniques, econometric modeling, and statistical analysis applied to large scale retail pricing and promotions problems
• Strong Python, R, and SQL skills, proficiency in working with large datasets
• Proven ability to manage multiple complex projects simultaneously in a fast-paced environment
• Excellent leadership, communication, and cross-functional collaboration skills
• Master's degree in a quantitative field such as management science, operations research, economics, statistics, engineering, data science, or computer science
• PhD degree preferred

Excellent project management skills with ability to lead and engage in multiple projects and initiatives and appropriately, prioritize her/his own time as well as that of the direct reports, and adjust priorities as needed to meet deadlines

• Affordable medical plan options
• 401(k) plan (including matching company contributions)
• Employee stock purchase plan
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
• Paid time off
• Flexible work schedules
• Family leave
• Dependent care resources
• Colleague assistance programs
• Tuition assistance
• Retiree medical access