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Executive Convex Optimization Jobs (NOW HIRING)

C3 AI

Data Scientist (Federal)

Virginia, IL · On-site

... to stakeholders, executives, and customers in high-stakes or strategic settings. * Strong ... Understanding of optimization (constrained, stochastic, convex and non-convex optimization problems)

Azad, Inc

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

... optimization through linear programming and convex optimization, nonlinear programming ... and executives and to external parties (e.g., representing BPA regionally such as to key ...

AZAD Technology Partners

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

... optimization through linear programming and convex optimization, nonlinear programming ... and executives and to external parties (e.g., representing BPA regionally such as to key ...

Comity

Infrastructure Finance, Lead

New York, NY · On-site

$175K - $265K/yr

... convex optimization methods (AI) to build the financial trust layer for the electric age. We ... with executive presence. You explain complexity with clarity and conviction and are comfortable ...

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Executive Convex Optimization information

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How much do executive convex optimization jobs pay per year?

As of Jul 31, 2026, the average yearly pay for executive convex optimization in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Executive Convex Optimization jobs? Cities with the most Executive Convex Optimization job openings:
What are the most commonly searched types of Convex Optimization jobs? The most popular types of Convex Optimization jobs are:
What states have the most Executive Convex Optimization jobs? States with the most job openings for Executive Convex Optimization jobs include:
Executive Convex Optimization jobs near you
Infographic showing various Executive Convex Optimization job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 43% Internship, 17% As Needed, 4% Full Time, 31% Temporary, and 2% Summer. Highlights an 80% Physical, 10% Hybrid, and 10% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

Data Scientist (Federal)

C3 AI

Virginia, IL • On-site

Other

Re-posted 2 hours ago

Job description

As a Data ScientistorSenior 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

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.
  • Ability to drive a projectand workbothindependently and in a team.

Preferred Qualifications

  • 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.

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