Senior Data Scientist, Innovation & Delivery ML

Dominos; Illinois; On-site; USD 50,000 - 86,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

Predictive modeling

Statistical techniques

Deep learning

Microservice architecture

Testing frameworks

Data storytelling

Education

Bachelor’s degree in Statistics/Math/CS

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

Job description

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.