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Since 1940, Dairy Queen® has been one of the world’s best known and loved brands. Based in Minneapolis, MN, International Dairy Queen Inc., (IDQ), is the parent company of American Dairy Queen Corporation. As a leading franchisor, there are more than 7,000 independently owned and operated restaurants in the U.S., Canada and more than 20 countries around the world. IDQ is a subsidiary of Berkshire Hathaway Inc. (Berkshire) which is led by Warren Buffett, the legendary investor and CEO of Berkshire.
Here at IDQ, we create extraordinary Fan experiences every day and we do this through our commitment to hiring and retaining only the best in class talent. We firmly believe that our employees are the catalyst to the success of the company where their initiative, strategic thinking, and entrepreneurial spirit are recognized and rewarded. We're looking for motivated, passionate and dedicated individuals with an inherent need and ambition to go after bigger challenges.
Data Scientist
Dairy Queen
On-site
Bloomington, MN, United States
Full-time
$105,561 -
$129,313
About Dairy Queen
About the Role
We have an exciting opportunity available for a Data Scientist based out of our corporate office in Bloomington, MN. The Data Scientist will use advanced analytics, statistical modeling, and machine learning to optimize supply chain processes such as demand & supply-side forecasting, inventory management, and logistics planning. They will analyze large datasets from various sources to uncover insights, reduce costs, improve efficiency, and enhance decision-making by developing predictive models, designing optimization solutions, and creating data-driven tools.
Qualifications
B.A. or B.S. Degree in Mathematics, Statistics, Analytics or related field or equivalent work experience in lieu of a degree.
Must have a minimum of 3-5 years of ML/AI experience.
Experience in applying statistical techniques like time series forecasting, regression, clustering, PCA, etc..
Experience in applying ML algorithms like LTSM, Prophet, XGBoost / LightGBM, SVM, etc..
Experience building ML/AI models, deploying to production and scaling to an enterprise level.
Proficient in SQL, Python, R or other analytics programming languages.
Understanding of database structure, data mining skills and the ability to extrapolate, interpret and organize data to aid in forming fact-based conclusions.
Proficient in Microsoft Office, including Excel, Word and PowerPoint.
Ability to anticipate how decisions can affect our customers, our franchisees, and our employees.
Demonstration of innovation and initiative – always looking at improving products and processes while also displaying a willingness to dive into the details and help wherever necessary.
Exceptional analytical skills – creative thinker who can quickly develop innovative ideas across a wide variety of business units.
Keen attention to detail in planning, organization and execution of tasks, while still seeing the big picture and understanding how all the pieces fit together and affect one another.
Relationship building skills with the ability to create mutually beneficial relationships and provide excellent customer service to both internal and external customers.
Excellent written and verbal communication skills, with the ability to present information and articulate analytical results to a variety of internal and external customers.
Must have a minimum of 3-5 years of ML/AI experience.
Experience in applying statistical techniques like time series forecasting, regression, clustering, PCA, etc..
Experience in applying ML algorithms like LTSM, Prophet, XGBoost / LightGBM, SVM, etc..
Experience building ML/AI models, deploying to production and scaling to an enterprise level.
Proficient in SQL, Python, R or other analytics programming languages.
Understanding of database structure, data mining skills and the ability to extrapolate, interpret and organize data to aid in forming fact-based conclusions.
Proficient in Microsoft Office, including Excel, Word and PowerPoint.
Ability to anticipate how decisions can affect our customers, our franchisees, and our employees.
Demonstration of innovation and initiative – always looking at improving products and processes while also displaying a willingness to dive into the details and help wherever necessary.
Exceptional analytical skills – creative thinker who can quickly develop innovative ideas across a wide variety of business units.
Keen attention to detail in planning, organization and execution of tasks, while still seeing the big picture and understanding how all the pieces fit together and affect one another.
Relationship building skills with the ability to create mutually beneficial relationships and provide excellent customer service to both internal and external customers.
Excellent written and verbal communication skills, with the ability to present information and articulate analytical results to a variety of internal and external customers.
Responsibilities
Build predictive models to forecast demand, inventory needs, and lead times.
Use components of mathematics, statistics, computer science, and domain-specific knowledge to gather, make, and communicate principled conclusions from data.
Execute full life cycle of projects through project planning, data collection, model prototyping and deployment, with responsibilities encompassing stakeholder management and communication to cross-functional partners.
Use components of mathematics, statistics, computer science, and domain-specific knowledge to gather, make, and communicate principled conclusions from data.
Execute full life cycle of projects through project planning, data collection, model prototyping and deployment, with responsibilities encompassing stakeholder management and communication to cross-functional partners.
Benefits
Our benefit package supports the well-being of our employees and their families. Our comprehensive benefit package includes, medical, dental, 401K match, paid time off (including volunteer time as well as parental leave) and so much more! To learn more about our great benefit offerings.
