Who We Are

We’re not in the wing business. We’re in the flavor business. It’s been our mission to Serve the World Flavor since we first opened in 1994, and we’re just getting started. 1997 saw the opening of our first brand partner operated Wingstop location, and by 2002 we had served the world one billion wings. It’s flavor that defines us and has made Wingstop one of the fastest growing brands in the restaurant industry.

Above all else – our success is largely due to our people and our core values, or what we call The Wingstop Way of being entrepreneurial, service-minded, fun, and authentic. We believe having a strong people foundation centered on these collective values creates a crave-worthy culture and talented team, as well as ensures our brand is poised for accelerated growth. We all win together.

What We'll Need

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 insight.

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 Data Science Manager 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 part of our team, the data scientist will build and enhance models that specialize in optimization and prediction.

Key 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.
Model Building, Optimization, and Monitoring:- 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.
Develop and maintain the different environments where ML models are developed, tested and run in production

What You'll Need

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 models in production.
Strong programming skills in Python, Java, or Scala, with the ability to automate ML pipelines and data workflows.
Knowledge of MPP databases such as Snowflake (Snowpark) and familiarity with data engineering for scalable analytics and model training.
Experience with data modeling (conceptual, logical, physical) to enable robust analytical and predictive solutions.
Preferred: Experience building and tuning forecasting models, NLP/sentiment analysis, or Generative AI applications.
Preferred: Background in A/B testing, pricing experiments, or recommendation systems to optimize decisions and engagement.
Experience using tools such as Snowflake, Power BI, and Tableau.
Preferred: Familiarity with Agile (Scrum, SAFe, Kanban), MLOps, and Master Data Management (MDM) principles.
Preferred: Experience in the restaurant, retail, or hospitality industry applying data science to improve operations and customer experience.
BS or Masters with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline.
Certification in data science or analytics (e.g., Certified Analytics Professional, SnowPro Certified Advanced Data Scientist)
Minimum 3 years of practical work experience applying data science techniques and toolsets to solve practical problems.

Who You Are

No job is too small. You recognize that the real work happens in the restaurants, and everything we do should support their success. You stay humble, roll up your sleeves, and always look for ways to support. You learn from others and contribute wherever you can.

You care deeply about doing great work and driving results. You’re curious, ask questions, and seek out opportunities to improve. You don’t just point out problems—you bring solutions, ideas, and perspectives that move the team forward.

You take full responsibility for your work and see things through to completion. You aren’t afraid to fail because you know that failure is a part of learning and growth. You take action, move fast, and keep pushing forward.

You lead with empathy, respect, and emotional intelligence. You collaborate effectively, fostering a culture of trust and constructive feedback. You understand the importance of teamwork and ensure that your actions build others up rather than break them down.

You push yourself and others to be better. You embrace healthy conflict, knowing that great ideas and strong teams emerge from honest, constructive conversations. You believe that leaders create leaders and are committed to fostering a culture of growth, challenge, and continuous improvement.

Benefits

Flavor Perks:

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

Fun Is The Best Flavor

Lunch provided every Tuesday and Thursday in office
Work from home Fridays
Discount on Wingstop gift cards
Onsite game room

Wingstop provides equal opportunities for everyone that works for us and everyone that applies to join our team, without regard to sex or gender, gender identity, gender expression, age, race, religious creed, color, national origin, ancestry, pregnancy, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, any service, past, present, or future, in the uniformed services of the United States (military or veteran status), or any other consideration protected by federal, state, or local law.

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