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Data Scientist - levels - Clearance and Polygraph

Job in Aurora, Arapahoe County, Colorado, 80012, USA
Listing for: Constellation Technologies, Inc
Full Time position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 220000 USD Yearly USD 120000.00 220000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist - multiple levels - CLEARANCE and POLYGRAPH REQUIRED

Data Scientist — Multiple Levels — Clearance and Polygraph Required

Posted 3 weeks ago. Be among the first 25 applicants.

Pay Range

$120,000 - $220,000 per year

The pay range for this job is a general guideline only and not a guarantee of compensation. Additional factors considered in extending an offer include responsibilities, education, experience, knowledge, skills and abilities, internal equity, market data, and applicable law.

Responsibilities
  • Design and implement machine learning, data science, and advanced analytical algorithms.
  • Develop and deploy programming solutions in high‑level languages such as Python and mid‑level languages such as

    C.
  • Conduct data mining, advanced statistical analysis, and develop mathematical foundations for AI, including numerical methods and graph theory.
  • Manage and curate large datasets, ensuring quality and reproducibility.
  • Translate mission needs and analytic questions into technical requirements and advise stakeholders.
  • Communicate complex technical information to non‑technical audiences and make principled recommendations.
  • Use data modeling, model selection, evaluation, and sensitivity analysis to characterize large datasets in various states.
Qualifications
  • U.S. citizenship.
  • Active TS/SCI clearance with polygraph.
  • At least 2 years of relevant experience within the last five years; additional experience required for Level 02-04 as follows:
  • Level 04: minimum 17 years of experience with a degree.
  • Level 03: minimum 12 years of experience with a degree.
  • Level 02: minimum 5 years of experience with a degree.
  • Degree in Mathematics, Applied Mathematics, Statistics, Machine Learning, Data Science, Operations Research, Computer Science, or related fields with substantial computational coursework.
  • Experience in designing/implementing machine learning, data science, statistical analysis, AI, and workflow reproducibility.
  • Proficiency in at least one high‑level language (e.g., Python) and one mid‑level language (e.g.,

    C).
  • Strong foundation in mathematics, statistics, computer science, and domain‑specific knowledge.
Preferred Qualifications
  • Full polygraph clearance preferred.
  • Experience with Big Data, dataflows, and AI/ML familiarity.
  • Analytics skills in GME, Jupyter notebooks, and Spark.
Benefits Package
  • Affordable healthcare with 80% employer‑paid premium plus a company‑funded HSA.
  • Dental insurance with 100% employer‑paid premium.
  • Vision insurance with 80% employer‑paid premium.
  • Life insurance, short‑term and long‑term disability all 100% employer‑paid.
  • Annual training, continued education, and professional membership reimbursement.
  • Unlimited access to Red Hat Enterprise Linux, AWS, and Net App training and accreditation.
  • Annual reimbursement for technology (phones, computers, printers, etc.).
  • 401(k) with company match up to 5% with 100% immediate vesting after 90 days.
Work Environment & Perks
  • Professional development investment and paid time off for training.
  • Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, California, Florida, and Hawaii.
  • Team‑building events throughout the year (family events, holiday parties, monthly get‑togethers).
  • Leadership team engagement and mentorship.
  • Performance recognition program.
  • Complimentary branded apparel.
Referrals

Referrals increase your chances of interviewing at Constellation Technologies, Inc by 2×.

Equal Opportunity

Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex, age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, transgender status, disability, genetic information, military or veteran status, citizenship, or low‑income status.
Job applicants can submit questions about CTI’s equal employment opportunity policy to cti‑hr@cti‑

Hiring Process

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.

Application

To apply, click the link above or use the CTI External Referral Program. Email cti‑staffing@cti‑ for more information.

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