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.

Base pay range: $/yr - $/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.

• 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

• Fully cleared polygraph preferred
• Knowledge of working with big data, dataflows, machine learning/artificial intelligence familiarity
• 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)…