Senior Data Scientist

APPLY TODAY TO JOIN OUR TEAM! 

Company Overview 

Founded in 1988 and headquartered in Bolingbrook, IL, S&S Activewear is the leading wholesaler to the imprintable apparel and uniform market in the United States and Canada. S&S offers more than 100 brands, including Adidas, Champion, Columbia, Dickies, Fruit of the Loom, Gildan, Oakley, Richardson, etc. The wholesaler specializes in blank sportswear, corporate apparel, and accessories – including everything from basic t-shirts to fashion-forward apparel – and features the best selection the industry has to offer. 

S&S has grown under the current management team and owners from a successful midwestern t-shirt and fleece distributor into an industry leader with approximately $2.3 billion in annual sales. In March 2021, Clayton, Dubilier & Rice (“CD&R”) acquired S&S Activewear. CD&R believed S&S to be a leading distribution platform with sustainable competitive advantage following significant strategic investments in its geographic reach, people, and technology. 

Today, S&S has the largest one & two-day distribution footprint in the industry, with its products reaching 99% of the U.S., Canada, and Puerto Rico within two days and 44 states in just one day.

About Clayton, Dubilier & Rice

Clayton, Dubilier & Rice is a private investment firm with a strategy predicated on building stronger, more profitable businesses. Since inception, CD&R has managed the investment of more than $35 billion in 100 companies with an aggregate transaction value of more than $150 billion. The Firm has offices in New York and London.

Schedule 

Monday-Friday, Full-Time, Exempt (Hybrid) 

Location - Bolingbrook - IL 

Benefits

• Vacation, Personal, and Sick time.
• Medical, Dental, Vision, Life Insurance, Short/Long term disability.
• Flexible Spending Account.
• 401K with 3% company contribution.
• Discounts on brand name apparel.
• Employee events.
• Opportunities for advancement – Internal Promotions.

Position Summary – Senior Data Scientist 

The Senior Data Scientist occupies a key role in helping the organization make decisions using advanced analysis and machine learning. The Senior Data Scientist will work alongside counterparts from across the company including marketing, purchasing, pricing, and technology to develop data science methods that address S&S’s hardest business problems.

In this capacity, you will have the opportunity to work directly with senior business leaders and substantial influence in the evolution of S&S’s data science capabilities. The ideal candidate will have deep technical skills coupled with an understanding of how to make data science relevant to non-technical partners. 

Essential Duties & Responsibilities

• Develop statistical models and machine learning algorithms that help to drive business decisions, including classification, regression, and time series models.
• Take responsibility for ensuring the team uses rigorous quantitative methodologies to reach accurate and reliable results.
• Participate in developing and customizing quantitative methodologies to yield insights about customers, products, and market opportunities.
• Lead and support projects involving other data scientists, engineers, and analysts.
• Collaborate with teams across the organization to develop A/B test concepts to measure the impact of operational changes and validate business hypotheses.
• Partner with peers in other departments to discover unmet needs and scope projects to address those needs.
• Train and deploy models using AWS infrastructure and modern DevOps practices.
• Define processes the team can follow to monitor and operate deployed models, including retraining when necessary to address performance drift.
• Write and maintain production-grade Python code, lead code reviews, and create documentation and other artifacts.
• Present findings to business leaders.

Requirements

• Bachelor's degree in computer science, mathematics, statistics, or another quantitative field; master’s degree preferred.
• Extensive experience with Python and related data science libraries (scikit-learn, pandas, Tensorflow, Keras, etc.)
• Knowledge of AWS, including design principles using AWS infrastructure; AWS certifications are beneficial.
• Ability to construct complex SQL queries for gathering, synthesizing, and preparing data.
• Experience with version control and Git workflows.
• Deep understanding of the statistical principles and the concepts underlying machine learning techniques.
• Track record of ge