Senior Data Scientist, Marketing Analytics

Key Qualifications:
● 4-6 years structuring databases and manipulating large data sets
● 3+ years writing code in relevant languages (e.g. Python, PySpark, Snowflake, Hive, SQL, Java or Scala)
● 3 years of experience/working knowledge on Amazon S3, EC2, EMR
● 3 years of experience in marketing analytics and database marketing.
● 2 years of experience in supporting personalization strategies for an e-commerce industry. Retail experience
preferred.
● Bachelor’s degree required; preferably in Engineering, Mathematics, Statistics or Computer Science
● Strong Microsoft Excel skills. Ability to code macros in VBA a plus.
● Proven ability to apply findings to business problems to lift revenue and profits.
● Knowledge of web analytics packages (e.g. Omniture, Core metrics or Google Analytics).

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).
● An amazing employee discount

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.