Live and exemplify the Five Principles of Mars, Inc.
Apply strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation ML engines and services.
Own AI solution design, platform integration, and deployment standards, serving as the primary technical authority for AI capabilities within North America Supply.
Use machine learning techniques, optimization, simulation, visualizations, & statistical analysis to gain insight into various data sets – some readily available, and some you create and curate yourself.
Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products.
Guide a team of data scientists and functional experts to create fit for purpose solutions using cutting edge analytical and AI methodologies.

Minimum of a bachelor’s in computer science, operations research, data science, engineering, mathematics, statistics or related field. Masters preferred.
Minimum 5 years' experience in a comparable technical role, preferably within complex, regulated, or large-scale enterprise environments.
Demonstrated knowledge of Supply chain.
Strong experience working with modern AI platforms and data integration frameworks.
Experience with Palantir Foundry or similar platforms preferred.
Hands-on experience with data pipelines for models and solutions.
Proven track record of delivering value through AI/ Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively.
Direct experience in building Agents and leveraging emerging technologies within Microsoft and Google to design an agentic ecosystem.
Experience ensuring compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics.
Ability to translate business needs into analytical frameworks & superior verbal and written communication skills.
Proficiency and hands-on experience in advanced analytics techniques and machine learning algorithms, including NLP, time-series analysis and other relevant methods and willingness to coach data scientists tactically.
Ability to travel 30% dependent on project demands.

Senior AI Platform, Model Developer

Key skills