Data Scientist/Senior Data Scientist - Optimization
- Provide thought leadership and expertise in optimization, guiding strategic decision-making and technical direction.
- Research, design, implement, and deploy optimization solutions for enterprise applications leveraging the C3 AI Suite.
- Assist and enable C3 AI customers to build their own optimization applications on the C3 AI Suite.
- Collaborate with or lead a small technical team on a project and identify potential risks and implement mitigation strategies to ensure project success.
- Partner with cross-functional team to translate optimization model insights into actionable business strategies and measurable outcomes.
- Develop, maintain and enhance optimization frameworks, libraries, and tools to ensure scalability and efficiency while contributing to the continuous improvement of the C3 AI Suite.
- Stay informed on state-of-the-art optimization techniques, promote best practices, and foster an innovative and collaborative work environment at C3 AI.
- MS or PhD in Operations Research, Applied Mathematics, Computer Science, Artificial Intelligence, Industrial Engineering or equivalent.
- Deep understanding of optimization (constrained, stochastic, convex and non-convex optimization problems, and LP, QP, MILP, MINLP, problems and solvers).
- Strong mathematical background (linear algebra, calculus, statistics, numerical simulation).
- Demonstrated expertise in Python (or a similar object-oriented programming language), with hands-on experience in at least one mathematical programming library or framework.
- Ability to drive a project and work both independently and in a team.
- Smart, motivated, can-do attitude, and seeks to make a difference.
- Curiosity and willingness to learn about our customers industries.
- Excellent verbal and written communication in English.
- Work will be conducted at our office in Redwood City, California
- Professional experience applying optimization in a customer facing role.
- Practical experience with at least one type of commercial solver (e.g., Gurobi).
- Knowledge of git and experience with GenAI productivity tools.
- Experience with applied/scalable ML, state-of-art deep learning and reinforcement learning problem formulation and model architecture design.
- A portfolio of projects (GitHub, etc.) and publications at top-tier peer-reviewed conferences or journals is a plus.
- Experience working with modern IDEs and AI agent tools as part of accelerated development workflows.
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