Hybrid Senior AI Platform, Model Developer

at Mars

• Job title: Senior AI Platform, Model Developer
• Job type: Full Time
• Experience level: Senior
• Salary: $153,600 - $211,200 per year
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, Hackettstown, United States

About the role

• AI Platform/ Model Developer at Mars leveraging AI to enhance North America Supply Chain efficiency and resilience. Collaborating with various teams to design and implement scalable AI capabilities.

Responsibilities

• 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.

Requirements

• 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.

Benefits

• Medical and dental benefits
• Participation in 401k plan
• Paid time off benefits
• Company bonus