Data Scientist

C3 AI
United States
1 day ago
Apply on startup.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$136,000.0 - $183,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Computer Vision Convex Optimization Software Debugging Programming Tools Machine Learning Natural Language Processing Enterprise Software Applications Large Language Models Deep Learning Information Technology Data Analytics
+2 more
Virtual Agents Unsupervised Learning

Job description

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., * 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.

Requirements

  • 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.
  • Ability to drive a project and work both independently and in a team., * MS or PhD in Computer Science, Electrical Engineering, Statistics, Operations Research or equivalent fields.
  • Active TS/SCI with CI or Full-Scope Polygraph
  • Experience with deep learning, natural language processing, computer vision, or application of large language models (RAG, Agentic, etc.).
  • Understanding of optimization (constrained, stochastic, convex and non-convex optimization problems)
  • Experience working with modern IDEs and AI agent tools as part of accelerated development workflows.

Candidates must be authorized to work in the United States without the need for current or future company sponsorship.

Benefits & conditions

C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. Virginia Base Pay Range $136,000-$183,000 USD

C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on startup.jobs
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:25 min

Distinguishing artificial intelligence from deep learning

Sam Witteveen · Coffee With Developers

1:32 min

Structuring platforms for new services and data analytics

Nevelina Aleksandrova · LIVE

3:21 min

Navigating the ethical integration of virtual colleagues

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

2:17 min

Distinguishing between AI, machine learning, and deep learning

Mary Grygleski Mary Grygleski · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all