Office Job

Domino's Pizza Sandbox • Chicago, IL

1d • Onsite

About The Position

Domino’s Pizza Inc. is looking for a Sr. Data Scientist – Innovation Data Science. The company is known for having the best pizzas in town. This position involves working cross-functionally with digital innovation, technology, and operations innovation teams to identify opportunities for innovative tech solutions to improve delivery experience, shaping and guiding strategic business initiatives. The role focuses on solving difficult, non-routine problems and developing Machine Learning and Artificial Intelligence components for next-generation smart applications. Collaboration across functions is key to understanding data needs of different stakeholders and developing strong, high-trust partnerships through transparency and incremental value delivery. The Sr. Data Scientist will own data science and analytical solutions end-to-end, from identifying business problems and crafting Machine Learning based solutions to socializing proposed architecture, implementing solutions, tracking results, and presenting to stakeholders. This role also involves spearheading research and implementation of advanced Machine Learning techniques such as computer vision, natural language processing, and reinforcement learning to solve complex business problems. Additionally, the individual will serve as a mentor and consultant, guiding best practices in code review, data processing, modeling, AI, and ML development. Efficient prioritization of competing tasks in a dynamic business environment is essential, along with developing a strong understanding of the business, its challenges, and demonstrating the ability to identify actionable business opportunities.

Requirements

• Bachelor’s degree or equivalent in Statistics, Mathematics, Computer Science, or related computational field of study and 5 years of progressive experience in Data Science, Data Analysis, or Software Development.
• OR Master’s degree or equivalent in Statistics, Mathematics, Computer Science, or related quantitative field of study and 2 years of experience in Data Science, Data Analysis, or Software Development.
• All experience must be post-Bachelor’s.
• Demonstrated experience with using multiple data sources.
• Demonstrated experience with solving business problems with data science, emphasis on business outcomes.
• Demonstrated experience with SQL.
• Demonstrated experience with Python, including developing and maintaining in-house libraries.
• Demonstrated experience with predictive modeling and machine learning techniques (including classification, predictive, and artificial neural networks) and their real-world application.
• Demonstrated experience with applying statistical techniques and concepts (including regression, probability, properties of distributions, and statistical tests) in a business setting.
• Demonstrated experience with training models using deep learning frameworks.
• Demonstrated experience with building production grade APIs using established CI/CD pipelines.
• Demonstrated experience with developing and deploying microservice architecture and integrating solutions into broad cross-functional software systems.
• Demonstrated experience with testing frameworks for productionalizing software, including unit testing, integration testing, regression testing, and load testing.
• Demonstrated experience with analyzing business problems and presenting key findings to senior leaders and collaborators.

Responsibilities

• Work cross-functionally with digital innovation, technology, and operations innovation teams to identify opportunities for innovative tech solutions to improve delivery experience, shaping and guiding strategic business initiatives.
• Work to solve difficult, non-routine problems and develop Machine Learning and Artificial Intelligence components of next-generation smart applications.
• Collaborate cross-functionally to understand data needs of different stakeholders across multiple business verticals, developing strong high-trust partnerships through transparency and incremental delivery of value.
• Own data science and analytical solutions end-to-end, from identifying business problems, crafting Machine Learning based solutions, socializing proposed architecture with partners, implementing solutions, tracking results and presenting to stakeholders.
• Spearhead research and implementation of advanced Machine Learning techniques such as computer vision, natural language processing, and reinforcement learning to solve complex business problems.
• Serve as mentor and consultant guiding best practices in code review, data processing, modeling, AI and ML development.
• Efficiently prioritize competing tasks in dynamic business environment.
• Develop strong understanding of business, challenges, and demonstrate ability to identify business opportunities that can be acted upon.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior