Data Scientist 2

Role Overview

We’re in search of a Data Scientist with a solid understanding of DX and XKS, who is proficient in extracting VPN information for integration into databases. You’ll also need expertise in CASNs and how they influence data selection processes. Your role will involve leveraging these skills to analyze and interpret data, driving insights and informing strategic decision-making within our organization.

What You Will Do

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.

Why It Might Be a Fit

You’ll need to effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations.

Requirements

• Clearance Level: TS/SCI with active Poly
• Bachelor’s Degree with 3 years of relevant experience
• Associates degree with 5 years of relevant experience
• Degree in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science
• Certificate in Data Science from an accredited college/university

Benefits

• Voluntary Medical, Dental, Vision, with Health Savings or Flexible Spending Plan options
• Voluntary Life, Critical Illness, Accident, and Long Term Care insurance options
• Group Term Life, Short-Term and Long-Term Disability
• Generous 401(k) match
• Competitive PTO plan
• Other leave programs
• Mental health awareness programs
• Tuition reimbursement
• Professional development reimbursement
• Recognition and Awards programs