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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 2026-02-16
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist - multiple levels - CLEARANCE and POLYGRAPH REQUIRED

Big Data, dataflows, Artificial Intelligence / Machine Learning (AI/ML) familiarity, Analytics in GME, Jupyter notebooks, and Spark.

Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position.

Link to application:

Required
  • Must be a US Citizen
  • Must have TS/SCI clearance w/ active polygraph
  • This position is open to multiple levels of years of experience; two (02) years within the last five (05) years must be directly related to the job you are applying for
  • Level 04 requires a minimum seventeen (17) years of experience w/ Degree
  • Level 03 requires a minimum twelve (12) years of experience w/ Degree
  • Level 02 requires a minimum five (05) years of experience w/ Degree
  • Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field may be considered if it includes a substantial concentration of coursework in advanced mathematics and/or computer science
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (at least one high-level language such as Python and at least one mid-level language such as

    C), data mining, advanced statistical analysis, and related areas described in the original posting
  • Devise strategies for extracting meaning and value from large datasets
  • Make and communicate principled conclusions from data using mathematics, statistics, computer science, and applicable knowledge
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and assist others with conclusions from analysis
  • Effectively communicate complex technical information to non-technical audiences
These Qualifications Would be Nice to Have
  • Fully Cleared polygraph is preferred
  • Knowledge of working with Big Data, dataflows, Machine Learning/Artificial Intelligence familiarity
  • Analytics in GME, Jupyter notebooks, and Spark
The benefits package
  • Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA
  • Dental insurance with 100% employer paid premium
  • Vision with 80% employer paid premium
  • Employer paid Life insurance 100%
  • Employer paid Short-term and Long-term disability 100%
  • Annual training, continued education, and professional memberships 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 of employment)
The environment and 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
  • Leadership Team engagement and mentorship
  • Performance Recognition Program
  • Complimentary branded apparel

Don’t see a job opening that’s the perfect fit? Apply to our General Position to join our talent pool for future opportunities.

Know someone who may be a good fit? Refer them through the CTI External Referral Program for a potential bonus; contact  for more information.

Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration without regard to protected characteristics. For questions about CTI’s equal employment opportunity policy, contact

We may use AI tools to support parts of the hiring process. Final hiring decisions are made by humans. For information about data processing, contact us.

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