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Job Description
- Req#: R-103745
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).
An amazing employee discount
Job Description:
Who We Are:
Saks is a world-renowned luxury ecommerce destination. The company’s unique approach combines a focus on the digital customer experience with a strong connection to a network of extraordinary stores that extends that seamless experience into the real world.On its website and app, Saks offers an unparalleled selection of curated merchandise across fashion for women and men, beauty, jewelry, home décor and more. In addition to the shopping experience, customers come to Saks for inspiring editorial content, access to digital stylists, lifestyle experiences and other world-class services. The company is currently in the midst of a dramatic expansion, driven by significant enhancements to its platforms and offerings, with the goal of becoming the preeminent destination for luxury internationally.Role Summary:
Saks.com LLC seeks Data Scientist in New York, NY, to analyze large amounts of information to discover trends and patterns to help Saks’ leadership team make data-driven decisions. Requirements: Master’s degree or foreign equivalent in Mathematics, Statistics or a related field and three (3) years of experience in the job offered or related occupation utilizing Structured Query Language (SQL), Python, R, and other programming languages to conduct business analytics tasks such as data processing, EDA (exploratory data analysis) and reporting. One (1) full year of experience designing and conducting Hypothesis Experiments for marketing campaign pilots and provide insights to improve business performance; utilizing machine learning technologies such as Tensorflow, Keras, and PyTorch to build algorithms for site personalization and advanced marketing strategies; utilizing cloud based tools such as Airflow, Docker, Kubernetes, and Snowflake to build MLops pipelines and for model production and integration with other applications; and applying algorithms including K Nearest Neighbors, Random Forest, GBM, Neural Networks, boosted trees, LDA, collaborative filtering, Bayesian to resolve business problems. Telecommuting and/or working from home may be permissible pursuant to company policies. When not telecommuting, must report to work site. Offered salary is between $135,782.00 and $140,000.00. Submit resume to jobs@saks.com. Please indicate job code KZ10302023EW.
Your Life and Career at Saks:
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, 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.
*The above expected salary range may have some variability based upon factors including, but not limited to, a candidate’s overall experience, qualifications, and geographic location. If you are interested in the role, we encourage you to apply and, if selected to move forward in the interview process, you will have a chance to speak with our recruitment team regarding your specific salary expectations.
About the company
Saks Fifth Avenue, originally A. Saks & Co.,