Address
Form of work
SalaryROLE PROFILE:
WINGSTOP RESTAURANTS, INC.
ROLE PROFILE OVERVIEW
ROLE LOCATION
GSC
REPORTS TO NAME
TEAM
BI & Analytics
REPORTS TO TITLE
BI & Analytics Director
ROLE PROFILE DESCRIPTION
ü FULL-TIME
ð PART-TIME
40+
HOURS PER WEEK
ð CONTRACTOR
ð INTERN
ð EXEMPT
ð NON-EXEMPT
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 reports to the Director, Business Intelligence & 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 be relied on 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.
- Support building a project roadmap with input into approach, selection of algorithms, how we define success and update stakeholders.
- Data Analysis and Interpretation:
- Analyze large datasets to identify trends, patterns, and insights.
- Develop and implement statistical models for predictive and prescriptive analysis.
- Interpret complex data sets and communicate findings to both technical and non-technical stakeholders.
- Model Building, Optimization and Monitoring:
- Design, implement, and deploy machine learning models for various business applications.
- Collaborate with cross-functional teams to integrate machine learning models into existing systems.
- Optimize models to ensure accuracy is within bounds, improve model performance and fine-tuning.
- Monitor and alert relevant teams to key metrics and KPI’s.
- Data Visualization and Story Telling:
- Create clear and compelling visualizations to communicate data-driven insights.
- Utilize tools such as Power BI or others to present data in a user-friendly manner.
.Experience/Qualifications:
- Expert level experience with Python, SQL, R and ML algorithms.
- Experience with building and tuning time series forecasting ML algorithms such as ARIMA, XGBoost, MLForecast, Prophet
- Fluent with MPP databases such as Snowflake’s Snowpark is preferred.
- Have experience with deep learning libraries like TensorFlow and/or PyTorch is highly desirable as well as experience with Spark and/or Hadoop.
- Have/had hands-on experience with Python, Java or Scala and the ability to write reusable and efficient code to automate machine learning pipeline and data processes.
- Possess exceptional visualization acumen, with expert communication and data presentation and storytelling skills, to produce relevant, standard, or custom information (reports, charts, graphs, and tables) from structured data sources by querying data repositories and generating the associated information.
- Experience leveraging various forms of data modeling (conceptual, logical, physical).
- Ideal: Experience in natural language processing (NLP) is a plus.
- Ideal: Experience partnering with onshore/offshore and FTE teams and matrixed project structures.
- Ideal: Experience in restaurant, retail, or hospitality is a plus.
- Experience using multiple data and analytics tools (Snowflake, Profisee, SAP BW, Power BI, Tableau)
- Ideal: Experience with 3rd party data enrichment and marketing tools (D&B, Loqate. Epsilon)
- Ideal: Experience with multiple SDLCs including Agile methodologies utilizing Scrum, SAFe, Kanban
- Ideal: Understanding of Master Data Management principles, architectures, and patterns.
- Ideal: Experience with multiple ERP/HCM/EPM platforms a plus
- 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 5-7 years of industry experience applying advanced analytics/machine to solve practical problems.
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:
- Frequent use of a computer and other technology essential to the successful completion of your everyday role responsibilities, often in a seated position.
- Frequent use of mental energy while gathering, documenting, analyzing, and communicating information with cross-functional colleagues, vendors, and extended Wingstop team.
- Routine need to shift priorities among simultaneous projects, while upholding quality and sense of urgency.
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
- Discounts at Under Armour, FitBit, NFL, and NHL
- Discounted onsite dry cleaning
- Discounted onsite car detailing
- Onsite game room and patio
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.
