What are the responsibilities and job description for the Data Scientist, Forecasting position at Wingstop?
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.
YOUR IMPACT
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.
WHAT YOU’LL DO
Wingstop is looking for full-stack data scientists with experience in machine learning and algorithm development to join our team. This role 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 : Develop and maintain the different environments where ML models are developed, tested and run in productionBring 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.
Experience / Qualifications :
WHO YOU ARE
HUMBLE : You feel there is always opportunity to further your personal and professional growth.
HUNGRY : You have a fire in you to keep pursuing excellence, particularly in a fast-paced, dynamic environment.
SMART : You have a high degree of emotional intelligence and a thirst for knowledge. You have the aptitude to work both independently and collaboratively, the talent to apply sound, strategic thinking and analysis to address a variety of business circumstances, and the capability to produce high-quality, detail-oriented work within a fast-paced environment.
SERVICE-MINDED : You consider others at every turn by exercising your responsibilities in an energetic, proactive and organized way.
ENTREPRENEURIAL : You work with an owner’s mentality when collaborating cross-functionally as you manage multiple concurrent projects from inception through execution.
A DAY IN THE LIFE
So, what does ‘all in a day’s work’ look like to a Wing Expert in this role? Your day could shape up somewhat like this :
BENEFITS
FLAVOR PERKS :
FUN IS THE BEST FLAVOR :
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.
