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

recommendation algorithms and NLP. Proven track record of teaming up with data

engineers for large-scale ML tool production

Github, AWS EMR, Airflow, AWS SageMaker, Dataiku, or similar platforms)

problems e.g., regressions, Random Forest, GBM, Neural Networks, boosted trees,

LDA, collaborative filtering, etc.

to capture business needs and translate them into actionable project plans to influence

real-world marketing applications or decisions

Role Description :

forecasting, product analytics, and targeted marketing. This includes designing and

implementing data pipelines, developing analytical frameworks, and creating models that

directly influence business decisions

delivering actionable insights and recommendations. Ensure clear communication of

project status, findings, and implications to business stakeholders

macroeconomic data to support various Saks initiatives and deliver actionable insights to

different functional teams

targeted campaign lists, and performing post-campaign evaluations. Ensure that insights

are actionable and directly applicable to marketing and CRM strategies

players to conceive and execute data pipelines crucial for our personalization objectives

learning, and AI, incorporating new techniques and technologies as appropriate

recommendation, customer journey optimization, and conversion enhancement.

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

Saks.com is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.