Data Scientist - multiple levels - CLEARANCE and POLYGRAPH REQUIRED
Data Scientist - multiple levels - CLEARANCE and POLYGRAPH REQUIRED
Posted on :
07-04-2025
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1 Vacancy
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Job Description
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.
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 (e.g. Computer Information Systems Engineering) a degree in the physical/hard sciences (e.g. physics chemistry biology astronomy) or other science disciplines with a substantial computational component (i.e. behavioral social and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra probability and statistics machine learning) and/or computer science (e.g. algorithms programming data structures data mining artificial intelligence). Collegelevel Algebra or other math courses intended to meet a basic college level requirement or upperlevel math courses designated as elementary or basic do not count.
- Relevant experience must be in designing/implementing machine learning data science advanced analytical algorithms programming (skill in at least one highlevel language (e.g. Python) and skill in at least one midlevel language (e.g. C) data mining advanced statistical analysis (e.g. statistical foundations of machine learning statistical approaches to missing data time series) advanced mathematical foundations (e.g. numerical methods graph theory) artificial intelligence workflow and reproducibility data management and curation data modeling and assessment (e.g. model selection evaluation and sensitivity.
- Employ some combination 2 or more) of the following areas: Foundations (Mathematical Computational Statistical); Data Processing (Data management and curation data description and visualization workflow and reproducibility); Modeling Inference and Prediction (Data modeling and assessment domainspecific considerations).
- Devise strategies for extracting meaning and value from large datasets.
- Make and communicate principled conclusions from data using elements of mathematics statistics computer science and application specific knowledge.
- Through analytic modeling statistical analysis programming and/or another appropriate scientific method develop and implement qualitative and quantitative methods for characterizing exploring and assessing large datasets in various states of organization cleanliness and structure that account for the unique features and limitations inherent to Agency data holdings.
- Translate practical mission needs and analytic questions related to large datasets into technical requirements and conversely assist others with drawing appropriate conclusions from the analysis of such data.
- Effectively communicate complex technical information to nontechnical audiences.
- Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Agency collection processing storage and analytic capabilities and limitations.
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.
$120000 $220000 a year
The pay range for this job with multilevels is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.
The benefits package:
Affordable healthcare options with 80 employer paid premium PLUS a companyfunded HSA
Dental insurance with 100 employer paid premium
Vision with 80 employer paid premium
Employer paid Life insurance 100
Employer paid Shortterm and Longterm disability 100
Annual training continued education and professional memberships reimbursement
Unlimited access to Red Hat Enterprise Linux AWS and NetApp training and accreditation
Annual reimbursement for technology i.e. 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 such as Destination Family Events Holiday Party Monthly GetTogethers
Leadership Team engagement and mentorship
Performance Recognition Program
Complimentary branded apparel
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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 (including pregnancy childbirth breastfeeding or medical conditions related to pregnancy childbirth or breastfeeding) age medical condition marital or domestic partner status sexual orientation gender gender identity gender expression and transgender status mental disability or physical disability genetic information military or veteran status citizenship lowincome status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTIs equal employment opportunity policy to
Employment Type
Full Time
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