Manager, Data Scientist

WHO WE ARE: Saks Global is the largest multi-brand luxury retailer in the world, comprising Saks Fifth Avenue, Neiman Marcus, Bergdorf Goodman, Saks OFF 5TH, Last Call and Horchow. Its retail portfolio includes 70 full-line luxury locations, additional off-price locations and five distinct e-commerce experiences. With talented colleagues focused on delivering on our strategic vision, The Art of You, Saks Global is redefining luxury shopping by offering each customer a personalized experience that is unmistakably their own. By leveraging the most comprehensive luxury customer data platform in North America, cutting-edge technology, and strong partnerships with the world's most esteemed brands, Saks Global is shaping the future of luxury retail. Saks Global Properties & Investments includes Saks Fifth Avenue and Neiman Marcus flagship properties and represents nearly 13 million square feet of prime U.S. real estate holdings and investments in luxury markets.

ABOUT THE ROLE: You will guide and inspire a team of data scientists to deliver high-impact solutions for all the Saks global banners. Whether it's reviewing end-to-end projects, mentoring team members, or driving innovation in DS practices, your work helps us align data science with business goals and scale solutions that make a measurable impact.

RESPONSIBILITIES:

• Guide and review project pipelines, ensuring quality and timely delivery.
• Manage and mentor DS/SDS, providing career guidance and fostering innovation.
• Take responsibility for the team's deliverables and own functional outcomes.
• Coordinate with cross-GCC verticals, stakeholders, and business partners to socialize and align solutions.
• Define goals, and promote out-of-the-box experimentation aligned with business impact.
• Drive synergy among direct reports and ensure team cohesion.

QUALIFICATIONS:

• 10 - 12 years of experience in implementing DS models with emphasis on.

REQUIRED SKILLS:

• Strong DS technical foundation with the ability to enforce and promote best practices.
• Proven experience in people management - coaching, performance reviews, and growth planning.
• Familiarity with advanced ML/DL methods and ability to evaluate when/where to apply them.
• Experience in scaling models from POC to production and ensuring robustness of deployed systems.
• Ability to review code, pipelines, and architecture for quality, efficiency, and maintainability.
• Strong grounding in ML lifecycle management (data prep, feature engineering, experimentation, deployment, monitoring).
• Strategic thinking to align technical choices with business impact and maximize ROI.
• Experience working cross-functionally with engineering, product, and business teams to ensure adoption and scalability.

PAY RANGE AND COMPENSATION PACKAGE:

• Comprehensive benefits package for all eligible full-time employees (including medical, vision and dental).

EQUAL OPPORTUNITY STATEMENT: Saks Global is committed to diversity and inclusivity.

YOUR LIFE AND CAREER AT SAKS GLOBAL:

• Opportunity to work in a dynamic fast paced environment at a company experiencing growth and transformation.
• Exposure to rewarding career advancement opportunities across the largest multi-brand luxury retailer from retail to distribution, to digital or corporate.