Office Job

Domino's Pizza Sandbox; Illinois; Presencial; USD 50.000 - 86.000; Jornada completa

Descripción de la vacante

Domino’s Pizza Inc. is seeking a Sr. Data Scientist – Innovation Data Science to work in Ann Arbor, MI. You will lead cross-functional efforts to identify opportunities for cutting-edge tech solutions that enhance the delivery experience and business initiatives.

The role focuses on solving complex problems with ML/AI components, collaborating with digital, technology, and operations teams, and guiding end-to-end data science projects from problem framing to deployment.

Formación

• Bachelor’s degree or equivalent in Statistics, Mathematics, Computer Science, or related field with 5 years of data science/analysis experience; Master’s degree with 2 years in lieu of degree.
• Experience with SQL and Python for data analysis and model development.
• Experience with ML techniques including classification, regression, neural networks.

Responsabilidades

• Identify opportunities for innovative tech solutions to improve delivery experiences.
• Build end-to-end data science solutions from problem framing to deployment.
• Develop ML/NLP/vision techniques for next-gen applications and present results to stakeholders.
• Mentor teams on best practices in coding, data processing, and AI development.

Conocimientos

SQL

Python

Predictive modeling

Statistical techniques

Deep learning

Microservice architecture

Testing frameworks

Data storytelling

Educación

Bachelor’s degree in Statistics/Math/CS

Master’s degree in Statistics/Math/CS (optional)

Descripción del empleo

• Job Category Org: Store Delivery Expert
• Compensation: USD 50,000 - USD 86,000 - yearly

Company Description

Job Description

Name of Employer: Domino’s Pizza Inc.
Position Title: Sr. Data Scientist – Innovation Data Science
Position Location: 30 Frank Lloyd Wright Dr., Ann Arbor, MI 48105
Days / Hours: Mon – Fri / 9:00 a.m. – 5:00 p.m.

Summary of Duties: 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.

QualificationsQualifications: 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. Employer will also accept a 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 in lieu of a Bachelor’s degree or equivalent and 5 year of progressive experience. Employer will accept pre- or post-Master’s degree experience. All experience must be post-Bachelor’s.

Qualifications

Applicants must have demonstrated experience with the following:

• solving business problems with data science, emphasis on business outcomes.
• SQL.
• Python, including developing and maintaining in-house libraries.
• predictive modeling and machine learning techniques (including classification, predictive, and artificial neural networks) and their real-world application.
• applying statistical techniques and concepts (including regression, probability, properties of distributions, and statistical tests) in a business setting.
• training models using deep learning frameworks.
• developing and deploying microservice architecture and integrating solutions into broad cross-functional software systems.
• testing frameworks for productionalizing software, including unit testing, integration testing, regression testing, and load testing.
• analyzing business problems and presenting key findings to senior leaders and collaborators.

Additional Information

None.

This job pays between 50k and 100k annually