Data Science Manager

Wingstop

3h•Hybrid

About The Position

This role contributes to Wingstop’s success by collaborating with multiple departments to support data driven business decisions through building models that optimize, predict, and generates insights. Our goal is to translate business questions into usable decision support products, visualizations & self-service tools that democratizes data across the entire Wingstop enterprise. Wingstop is looking for full-stack data scientists with experience in machine learning and algorithm development to join our team. This role reports to our Director, Advanced Analytics and will work closely with Finance, Operations, Marketing and others to support strategic growth initiatives. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this team member will need to understand the business questions and objectives, ask questions, connect the dots, and uncover hidden opportunities for realizing the data’s full potential. As team lead, this person will act as a ‘player/coach’ getting to build, train, and improve models as well as leading others to do the same.

Requirements

Proficient in Python and SQL, with experience applying machine learning and statistical modeling to solve complex business problems.
Hands-on experience developing, deploying, and scaling ML and time series forecasting/prediction models in production.
Strong programming skills in Python, with the ability to automate ML pipelines and data workflows.
Hands on experience working in cloud data-lakes such as Snowflake and/or Databricks for scalable analytics and model building.
Experience with data modeling (conceptual, logical, physical) to enable robust analytical and predictive solutions.
Experience presenting to senior level stakeholders, breaking down complex problems into easy-to-understand concepts
Experience managing direct reports
BS or Masters with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline.
Minimum 7 years of practical work experience applying data science techniques and toolsets to solve practical problems.

Nice To Haves

Experience building and tuning NLP/sentiment analysis models or Generative AI applications.
Background with customer centric data including customer purchasing patterns, demographics, customer lifetime value, etc.
experience with data visualization tools such as Power BI or Tableau.
Familiarity with Agile (Scrum, SAFe, Kanban), MLOps, and Master Data Management (MDM) principles.
Experience in the restaurant, retail, or hospitality industry applying data science to improve operations and customer experience.
Certification in data science or analytics (e.g., Certified Analytics Professional, SnowPro Certified Advanced Data Scientist)

Responsibilities

Collaboration and Communication:
Work closely with stakeholders to understand business objectives and requirements.
Collaborate with other data scientists, analysts, and team members to drive data initiatives.
Communicate with senior leaders, breaking down more technical requirements into easy to understand concepts.
Model Building, Optimization and Monitoring:
Develop and maintain the different environments where ML models are developed, tested and run in production
Bring ML models into production together with a multi-disciplinary team of scientists, engineers, product managers and subject domain experts.
Develop tools to monitor data integrity, KPIs and successful model execution for applications in production.
Design and deploy contingency plans to protect against ML model failures.
Contribute to improve scalability and reliability or solutions deployed in production.

Benefits

Unlimited paid time off for exempt employees
One paid volunteer day of your choice
Competitive bonus structure for eligible roles
Team member stock purchase plan
Health savings or flexible spending account options
401k – (dollar for dollar on the first 3% and then 50 cents on the dollar for the next 2% for team member contributions up to 5% of eligible compensation)
Comprehensive medical, dental, and vision benefits
Basic life and AD&D insurance provided
Pet insurance
Education Assistance
Wellness reimbursement program
Paid maternity and paternity leave
Lunch provided every Tuesday and Thursday in office
Work from home Fridays
Discount on Wingstop gift cards
Onsite game room