Data Scientist - multiple levels - CLEARANCE and POLYGRAPH REQUIREDConstellation Technologies, Inc • United States
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Data Scientist - multiple levels - CLEARANCE and POLYGRAPH REQUIRED
Constellation Technologies, Inc
- United States
- United States
Über
4 weeks ago Be among the first 25 applicants This range is provided by Constellation Technologies, Inc. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range: $120,000.00/yr - $220,000.00/yr 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. https://jobs.lever.co/cti-md/9501b47e-aaa9-4b02-a0f4-ceb6b959f201 Requirements
Must be a US Citizen Must have TS/SCI clearance with an active polygraph Position open to multiple levels of experience; minimum of two (02) years within the last five (05) years must be directly related to the job applied for Level 04 requires a minimum of seventeen (17) years of experience with a degree Level 03 requires a minimum of twelve (12) years of experience with a degree Level 02 requires a minimum of five (05) years of experience with a degree Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Related fields (e.g., Computer Information Systems, Engineering, Physics, Chemistry, Biology, Astronomy, or other science disciplines with substantial computational component) may be considered if they include a concentration of coursework (typically 5+ courses) in advanced mathematics (300 level or higher, e.g., linear algebra, probability, statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level algebra or other basic math courses do not count Relevant experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high?level language such as Python and at least one mid?level language such as C), data mining, advanced statistical analysis (e.g., 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 Combine at least two of the following areas: Foundations (Mathematical, Computational, Statistical), Data Processing (data management, visualization, workflow, reproducibility), Modeling, Inference, and Prediction (data modeling, domain?specific 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 other scientific methods, 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 unique features and limitations of Agency data holdings Translate mission needs and analytic questions related to large datasets into technical requirements and assist others with drawing appropriate conclusions from data analysis Effectively communicate complex technical information to non?technical audiences Make informed recommendations regarding competing technical solutions by maintaining awareness of Agency capabilities and limitations Nice to Have
Fully cleared polygraph preferred Knowledge of working with big data, dataflows, machine learning/artificial intelligence familiarity Analytics in GME, Jupyter notebooks, and Spark 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 NetApp 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 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 such as Destination Family Events, Holiday Party, Monthly Get?Togethers Leadership team engagement and mentorship Performance recognition program Complimentary branded apparel Referrals increase your chances of interviewing at Constellation Technologies, Inc by 2x 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, low?income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTIs equal employment opportunity policy to cti-hr@cti-md.com. 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. If you would like more information about how your data is processed, please contact us. The pay range for this job, with multi?levels, 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. #J-18808-Ljbffr
Sprachkenntnisse
- English
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