Senior Data Scientist

Job Description:

Who We Are:

Saks Global is a combination of world-class luxury retailers, including Neiman Marcus, Bergdorf Goodman, Saks Fifth Avenue and Saks OFF 5TH, as well as a portfolio of prime U.S. real estate holdings and investments. Saks Global is deeply committed to helping luxury consumers discover the most sought-after established and emerging brands from around the world. Powered by data-driven technology and centered on the customer, Saks Global is on a mission to redefine the luxury shopping experience through highly personalized service, with greater opportunities for product discovery across all channels.

Role Summary:

Central to Saks customer-centric marketing strategy is our Customer DNA. The successful candidate will be a highly independent and business-savvy Senior Data Scientist to lead the development and execution of advanced analytics that drive measurable business impact. The ideal candidate will demonstrate strong ownership of projects, from framing business problems to delivering actionable recommendations. They will support Saks strategies through the delivery of best-of-breed campaign management, measurement of all-channel and cross banner marketing promotions, the extraction of key analytical insights and by providing customer centric recommendations spanning both store and e-commerce channels. The ability to think strategically about customer and business challenges and proactively propose solutions will be critical to their success. Forward thinking is the key to this role as new technologies and opportunities present themselves.

Key Qualifications:

5+ years of demonstrated ability in a similar data scientist role Bachelor s degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field; Master s Degree preferred Comprehensive experience with ML and AI modeling, especially in product recommendation algorithms and NLP. Proven track record of teaming up with data engineers for large-scale ML tool production Proficient programming skills in relevant languages/tools (Python, SQL, Spark, Git & Github, AWS EMR, Airflow, AWS SageMaker, Dataiku, or similar platforms) Ability to apply the ML/AI modeling approaches/classes of algorithms to business problems e.g., regressions, Random Forest, GBM, Neural Networks, boosted trees, LDA, collaborative filtering, etc. Strong business acumen and knowledge of retail business and digital marketing Excellent communication skills and value in building solid relationships cross-functionally to capture business needs and translate them into actionable project plans to influence real-world marketing applications or decisions

Role Description:

Lead the strategic development of data-driven solutions within areas such as business
forecasting, product analytics, and targeted marketing. This includes designing and implementing data pipelines, developing analytical frameworks, and creating models that directly influence business decisions Manage end-to-end data science projects, from defining objectives and scope, to delivering actionable insights and recommendations. Ensure clear communication of project status, findings, and implications to business stakeholders Contribute to Product DNA data project to support merchandising and buying decisions Conduct ad-hoc analyses using customer, merchandising, operational, and macroeconomic data to support various Saks initiatives and deliver actionable insights to different functional teams

Develop and automate analytical processes for generating customer profiles, creating
targeted campaign lists, and performing post-campaign evaluations. Ensure that insights are actionable and directly applicable to marketing and CRM strategies Team up with Data Architects, Data Engineers, MLops Engineers, and other company players to conceive and execute data pipelines crucial for our personalization objectives Stay informed on the latest industry trends and advancements in data science, machine learning, and AI, incorporating new techniques and technologies as appropriate Drive research and methodology development for machine learning use cases in product recommendation, customer journey optimization, and conversion enhancement. Gather business requirements for critical blind spots in business processes such as access to customer information, and design an application that is marketer-friendly but solves data gaps and consumes data science models for end-user applications

Your Life and Career at Saks:

Exposure to rewarding career advancement opportunities A culture that promotes a healthy, fulfilling work/life balance

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