Data Scientist

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI

As a  Data Scientist or Senior Data Scientist - Federal, you will work with some of the largest organizations on the planet to help them build the next generation of AI-powered enterprise applications. You will work directly with data scientists, software engineers, and subject matter experts to define new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation. 
 
Qualified candidates will have an in-depth knowledge of common machine learning techniques and their application. Candidates should also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale. C3 AI Data Scientists are equipped with modern development tools, IDEs, and AI agents to maximize productivity and accelerate solution delivery. 

**This role requires US Citizenship
Note: This is a client-facing position. Data Scientists are expected to work on-site with our customers four days per week.
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Responsibilities:

• Lead the research, design, implementation, and deployment of Machine Learning algorithms, intelligent agents, or optimization solutions for enterprise applications leveraging the C3 AI Suite.
• Assist and enable C3 AI’s federal customers to build their own applications on the C3 AI Suite.
• Contribute to the design and implementation of new features of the C3 AI Suite.

Qualifications:

• US Citizenship (and willingness to obtain a security clearance)
• Bachelor’s in computer science, Electrical Engineering, Statistics, Operations Research or equivalent fields.
• Applied Machine Learning experience (regression and classification, supervised and unsupervised learning). 
• Strong verbal and written communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical audiences.
• Confident presenter, capable of articulating insights, results, and strategies to stakeholders, executives, and customers in high-stakes or strategic settings.
• Strong mathematical background (statistics, linear algebra, calculus, probability, and optimization).
• Ability to dive into a large ML codebase to debug and improve it.