Help us build the future of supply chain intelligence.

We're a well-funded startup backed by prominent investors, founded by serial entrepreneurs who've previously raised hundreds of millions and built category-defining companies. We're building a next-generation supply chain AI platform that will transform how global commerce operates.

We are seeking a Senior Data Scientist with deep mathematical foundations who can translate cutting-edge research into production systems that scale.

What You'll Do:

• Design and implement advanced ML models for supply chain optimization
• Apply linear programming and optimization techniques to real-world problems
• Build and deploy deep learning models at production scale
• Own the MLOps pipeline for training and serving large models
• Write production-quality code that handles billions of data points
• Collaborate with engineering to integrate models into our platform
• Research and implement state-of-the-art techniques in forecasting and optimization
• Design experiments and analyze results to drive product decisions
• Build self-improving systems that learn from user interactions

You Should Have:

• Master's degree (or PhD) in Computer Science, Mathematics, Statistics, or related field
• Strong mathematical foundations (linear algebra, optimization, probability theory)
• Deep understanding of linear programming and combinatorial optimization
• Extensive experience with deep learning frameworks (PyTorch)
• Proven track record deploying ML models to production
• MLOps experience with large-scale model training and serving
• Proficiency in Python and software engineering best practices
• Experience with distributed computing and big data technologies
• Ability to translate complex research into practical solutions

Bonus Points

• PhD in a relevant field with published research
• Experience with supply chain optimization or operations research
• Built ML infrastructure for training models with billions of parameters
• Experience with real-time ML systems and edge deployment
• Track record at successful startups or top-tier tech companies

Why Join Us?

• Work with founders who've built category leading companies before
• Backed by prominent deep tech investors — we have runway and ambition
• Solve genuinely hard problems that impact global commerce
• Own the entire ML stack with resources to build it right
• Collaborate with a world-class team of engineers
• Competitive compensation with significant equity upside
• Join at the ground floor of what will be a category-defining company

To Apply Share a production ML system you've built that required both mathematical sophistication and engineering excellence. We're especially interested in examples involving optimization, large-scale training, or systems that improved over time. Include metrics on model performance and system scale if possible.