Data Scientist

Description

At Bath & Body Works, everyone belongs. We are committed to creating a diverse, equitable and inclusive culture focused on delivering exceptional fragrances and experiences to our customers.

We focus on recruiting, retaining, and advancing diverse talent where our associate population is as diverse as the communities we serve, live and work.

In addition, we work to improve our communities and our planet in a way that will make us proud for years to come because we believe the world is a brighter, happier place when everyone has access to the things that make them happy.

The Data Scientist is primarily responsible for leading development initiatives to create or expand on predictive modeling methodologies and automated modeling pipelines to support multiple business areas including Marketing, Finance, MP&A, etc.

In addition to methodology creation, the Data Scientist will be highly skilled at identifying relevant data sources, collecting data and developing feature datasets to be used in modeling initiatives.

Furthermore, the Data Scientist will be expected to communicate findings and collaborate with business teams on activation strategies to implement results.

Responsibilities

• Serve as leading data science strategist to develop new methodologies and models to address current and future business needs.
• Interact with brand partners with respect to modeling and analytics.
• Extract, cleanse, and transform data for predictive modeling.
• Develop and execute automated, production-grade predictive model pipelines.
• Develop complex queries and automated scripts using Python & SQL.
• Fully manage projects end to end from identifying business opportunities to developed POC to creating automated modeling pipeline.
• Work with business partners to incorporate and implement results into current and future strategies.
• Communicate findings and recommendations to various partners across the organization.
• Complete hypothesis tests, sample size, and power calculations.
• Stay current with business results, strategies, industry standards, and tried and tested methodologies.

Qualifications

• At least six (6) years of modeling and analytical experience in Python / R / SAS in a fast paced and professional environment required
• Advanced experience in pattern recognition, clustering, statistics, and predictive modeling techniques
• Proficient writing advanced SQL
• Proficient with Artificial Intelligence / Machine Learning techniques
• Proficient in working with cloud data warehouses (Snowflake)
• Experience in retail, consumer packaged goods, and / or customer marketing
• Data visualization experience using Power BI, Tableau, Qlikview or similar technology
• Ability to work effectively in dynamic, research-oriented environment with multiple concurrent projects

Education

• Bachelor’s degree in data science, statistics, mathematics or relevant field required.
• Master’s Degree in data science, statistics, mathematics, or relevant field desired.

Core Competencies

• Lead with Curiosity & Humility
• Build High Performing Teams for Today & Tomorrow
• Influence & Inspire with Vision & Purpose
• Observe, Engage & Connect
• Strive to Achieve Operational Excellence
• Deliver Business Results

Benefits

We invite you to join Gingham Nation, where we invest in our associates through competitive compensation, benefits, and development opportunities, so they can continue to be their best at work, at home, and in their communities.

Benefits offered to our eligible associates include a no cost mental health and well-being program, health coverage with a variety of plans to choose from, flexible and affordable saving programs, paid time off and a merchandise discount. Visit for details.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job.

They are not intended to be an exhaustive list of all responsibilities, duties and skills required.

We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws.

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We are an equal opportunity and affirmative action employer. We do not make employment decisions based on an individual’s race, color, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, marital status, pregnancy, genetic information, protected veteran status or any other legally protected status, and we comply with all laws concerning nondiscriminatory employment practices.

We are committed to providing reasonable accommodations for associates and job applicants with disabilities. Our management team is dedicated to ensuring fulfillment of this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, associate activities and general treatment during employment.

We only hire individuals authorized for employment in the United States.