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.
You Will Be
As a Data Scientist, you will build and scale data-driven solutions that power personalization, optimize marketing decisions, and improve business performance across Saks’ digital ecosystem. You’ll work closely with cross-functional teams to translate business questions into analytical problems and develop models that drive measurable impact.
What You Will Do
- Build predictive and machine learning solutions (classification, regression, clustering, recommendation systems) for enhanced business decisions.
- Support end-to-end model lifecycle — from data preparation, feature engineering, model training, and validation to deployment and performance tracking.
- Partner with business stakeholders to translate analytical insights into actionable strategies for marketing, personalization, and customer retention.
- Leverage automation and MLOps frameworks to accelerate model delivery and operationalization.
- Collaborate with other team members in achieving data science outcomes and handle multiple products and initiatives.
- Stay current with emerging technologies (e.g., Generative AI, LLMs, and Agentic AI) and explore opportunities to apply them in production environments.
What You Will Bring
- 1–3 years of relevant experience in applied data science or machine learning.
- Strong foundations in SQL, Statistics, Machine Learning and Data mining.
- Hands-on experience with Python, SQL, Scikit Learn library, Snowflake and familiarity with cloud platforms (AWS preferred).
- Experience in scaling models from POC to production and ensuring robustness of deployed systems.
- Experience in building ML lifecycle - data prep, feature engineering, experimentation, deployment, monitoring.
- Ability to communicate insights effectively with both technical and non-technical audiences.
- Problem-solving mindset with curiosity to experiment, learn, and innovate.
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
- Comprehensive benefits package for all eligible full-time employees (including medical, vision and dental)
Thank you for your interest in Saks. We look forward to reviewing your application.
Saks provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Saks complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation and training.
Saks welcomes all applicants for this position. Should you be individually selected to participate in an assessment or selection process, accommodations are available upon request in relation to the materials or processes to be used
Saks.com is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
