Data Scientist - levels - Clearance and Polygraph

Data Scientist – Multiple Levels – Clearance and Polygraph Required

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.

$ – $ per year.

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.

• Must be a U.S. Citizen.
• Must have TS/SCI clearance with active polygraph.
• This position is open to multiple levels; two (2) years within the last five (5) years must be directly related to the job. Level 4 requires a minimum of seventeen (17) years of experience with a degree. Level 3 requires a minimum of twelve (12) years of experience with a degree. Level 2 requires a minimum of five (5) 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 (e.g., linear algebra, probability and statistics, machine learning) and/or computer science.
• Relevant experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (Python and at least one mid-level language such as
  
  C), data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment.
• Employ some combination (2 or more) of the following areas:
  Foundations (Mathematical, Computational, Statistical);
  Data Processing (management, description, visualization, workflow, reproducibility);
  Modeling, Inference, & Prediction (data modeling, domain-specific considerations).
• Devise strategies for extracting meaning and value from large datasets.
• Make and communicate principled conclusions from data using mathematics, statistics, computer science, and application-specific knowledge.
• Through analytic modeling, statistical analysis, programming, or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets.
• Translate practical mission needs and analytic questions into technical requirements and assist others with drawing appropriate from the 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.

• Fully cleared polygraph preferred.
• Knowledge of Big Data, dataflows, Machine Learning/Artificial Intelligence.
• Analytics in GME, Jupyter notebooks, and Spark.

• 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.

• 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 get-togethers.
• Leadership team engagement and mentorship.
• Per…