Saks OFF 5TH is the premier luxury off-price destination. In its more than 100 stores in the U.S. and Canada, and online, at SaksOFF5TH.com, the company provides the best names in fashion at an incredible value through its merchandise authority, unparalleled brand access and seamless connection between ecommerce and stores.
What This Position is All About:
The Senior Data Scientist will specialize in marketing analytics and have deep understanding of our customer data, and modeling techniques in order for the business to make the most of our data. This person is responsible for improving our customer acquisition through better data driven decisioning. This individual needs to be able to lead through influence and work closely with peers and stakeholders.
The right candidate will perform strategic business analysis for various departments and synthesize findings to present to business leaders. These analyses will provide the foundation for future business strategies. The data that this candidate will model and analyze will then be used to monitor and identify areas for improvement. The right candidate will have the opportunity to further their knowledge in analytics within the digital marketing space and collaborate with various digital marketing channels to create holistic solutions for the marketing team. This candidate would also have the opportunity to leverage machine learning to improve customer experience across channels such as email and Saks OFF5th website. This candidate will also provide guidance to junior team members.
Who Are You:
- Lead the development of our segmentation, personalization and many other retention models.
- Utilize statistical and machine learning techniques to analyze large datasets and extract meaningful insights for project and ad hoc requests.
- Develop, validate, and deploy predictive models and algorithms to solve complex business problems.
- Stay updated on the latest data science and retail industry trends, ensuring that the team remains at the forefront of technology and methodology.
- Establish a seamless connection between our customer strategy and merchandising strategy by analyzing customer behavior and preferences.
- You are highly analytical, and solve problems in a data driven way.
- You can think theoretically and apply models to business problems.
- You can communicate in a compelling and persuasive way, ensuring we have good adoption of our work.
- You are thorough and have a high level of attention to detail, ensuring nothing is missed in our tagging approach.
- You are ambitious and want to be part of a fast paced team.
- You are able to work with an intercontinental team.
- Have a strong customer focus and drive for results
- An agile thinker who is comfortable with flexing business needs and priorities.
You Also Have:
- A degree in a quantitative field such as Data Science, Statistics, Computer Science, or a related field.
- Proven experience (3+ years) in working on data science teams.
- Experience with a variety of ML frameworks and libraries (e.g. scikit-learn, lightgbm, pytorch, keras, tensorflow, hugging face, econ-ml)
- Strong expertise in marketing measurement, MMM, LTV, causal analysis, and segmentation.
- Expertise solving complex optimization problems.
- Some experience in retail or passion for fashion is a plus.
- Excellent proficiency in Python and SQL.
- Strong communication and collaboration skills.
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.
