Data Scientist (Federal)
Company websitec3.ai (C3 AI, opens in new tab)
Base salary $136K to $183K
Employer-published annual base salary, USD. Advertised base range in Tysons, VA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationTysons, VA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (21 min ago) · observed since
About this job
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.
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 project and work both independently 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.
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.
Source: C3 AI on Greenhouse · View original posting (opens in new tab)
How this pay compares
Base floor $136,000, above 38% of the 347 Data & ML roles in Virginia on this site; the other 62% list the same floor or a higher one. The employer's range is $47,000 wide, 35% of the floor. Observed open for 8 days so far (since Oct 31, 2026).
Pay in context
Among 347 Data & ML roles in Virginia listed on this site, the median base floor is $150,000 and the middle half runs from $120,000 to $182,500. This role's floor ($136,000) is above 38% of them; 1 other lists the same floor.
Base floors of 347 Data & ML roles in Virginia
Table
| Floor band | Share | Postings |
|---|---|---|
| $100K to $125K | 30.3% | 105 |
| $125K to $150K | 19.6% | 68 |
| $150K to $175K | 13.0% | 45 |
| $175K to $200K | 20.7% | 72 |
| $200K to $225K | 7.2% | 25 |
| $225K to $250K | 5.8% | 20 |
| $250K to $275K | 1.4% | 5 |
| $275K and up | 2.0% | 7 |
How this is calculated
- Statistic
- Base floor distribution of the cohort
- Formula
- count of cohort postings in each $25K band of published base floor / postings in the cohort
- Denominator
- 347 open postings with this job family in Virginia
- Sample size
- 347
- Hidden when
- needs at least 30 postings in the cohort
- Calculation version
- jobpage-analysis-v1
- Data as of
- 2026-11-08
- Employer set
- Open jobs on this site that publish a base salary of $100,000 or more
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
State against nationwide
Median base floor in Virginia vs nationwide
Table
| Value | postings | |
|---|---|---|
| Data & ML, Virginia | $150K | 347 |
| Data & ML, all states | $165K | 4,592 |
| This job's base floor (marked) | $136K |
How this is calculated
- Statistic
- Median floor, state vs nationwide
- Formula
- median published base floor of each cohort
- Denominator
- open postings of this job family
- Sample size
- 347 in Virginia; 4592 nationwide
- Hidden when
- needs at least 30 postings in both cohorts
- Calculation version
- jobpage-analysis-v1
- Data as of
- 2026-11-08
- Employer set
- Open jobs on this site that publish a base salary of $100,000 or more
How C3 AI pays
34 of C3 AI's 62 live roles on this site list a higher base floor and 26 list a lower one. Across them the median floor is $145,000; the middle half runs from $130,000 to $165,000.
Base floors of C3 AI's 62 live roles
Table
| Floor band | Share | Roles |
|---|---|---|
| $100K to $125K | 12.9% | 8 |
| $125K to $150K | 40.3% | 25 |
| $150K to $175K | 29.0% | 18 |
| $175K to $200K | 6.5% | 4 |
| $200K to $225K | 1.6% | 1 |
| $225K to $250K | 3.2% | 2 |
| $250K to $275K | 6.5% | 4 |
How this is calculated
- Statistic
- Employer base floor distribution
- Formula
- count of the employer's open roles in each $25K band of published base floor / its open roles
- Denominator
- 62 open public roles at this employer
- Sample size
- 62
- Hidden when
- needs at least 5 roles
- Calculation version
- jobpage-analysis-v1
- Data as of
- current
- Employer set
- Open jobs on this site that publish a base salary of $100,000 or more
Similar pay elsewhere
Other employers' Data & ML roles in Virginia with the nearest published base floor to $136,000, one per employer.
- Data Scientist II, AWS Managed Operations Intelligence (MOI) - Data Science Amazon · base floor $136,000
- Senior Associate, Data Scientist - Consumer Credit Risk Models and Data Capital One · base floor $135,600
- Business Analyst Pod Lead Applied Information Sciences · base floor $140,000
- Data Scientist (TS/SCI) Vantor · base floor $140,000
- Data Architect CACI · base floor $131,800
This listingData Scientist (Federal)$136K to $183K
Security Engineer - Federal (FieldOps)$134K to $167K
Data Scientist/Senior Data Scientist$136K to $183K
Product Manager - C3 Code$132K to $194K
Product Manager - C3 Generative AI$132K to $194K
Technical Program Manager, Release Management - C3 Agentic AI Platform$131K to $190K
Industry Solution Leader - Oil, Gas & Chemical (Refining / Chemical Asset Performance)$130K to $203K
Chart as a table
| Role | Published base |
|---|---|
| Data Scientist (Federal) (this listing) | $136K - $183K |
| Security Engineer - Federal (FieldOps) | $134K - $167K |
| Data Scientist/Senior Data Scientist | $136K - $183K |
| Product Manager - C3 Code | $132K - $194K |
| Product Manager - C3 Generative AI | $132K - $194K |
| Technical Program Manager, Release Management - C3 Agentic AI Platform | $131K - $190K |
| Industry Solution Leader - Oil, Gas & Chemical (Refining / Chemical Asset Performance) | $130K - $203K |
Observed changes
No changes to the pay or listing since we first observed this role on Oct 31, 2026 (8 days ago).
- First observed on the employer's board, already publishing a qualifying base salary
- Observed since
- Employer-stated posting date
- 2025-09-18
Where this pay comes from
Location as the employer wrote it: Virginia Base Pay Range
USD 136,000 – 183,000 · interval unstated · pay_input_range · Virginia Base Pay Range · base-labelled (R1: Base Pay)
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.