Security-Cleared Senior Data Scientist: Automation & RMF

Wyetech

Linthicum (MD)

On-site

USD 89,544 - 174,955

Full time

14 days+

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Benefits offered by this job

SEP IRA with 20% company contribution
PTO up to 200 hours annually
Medical, Vision, Dental options
Life and AD&D
Short/Long-Term Disability
Hospital Indemnity/Accident/Critical-I
Identity Theft Protection
Employee referral bonus up to $10,000

Job summary

Wyetech seeks a highly skilled data analytics professional to join the Secure the Enterprise initiative. You will shift from manual security evaluation to automated, auditable processes, leveraging Python to process security data and support RMF lifecycle assessments.

The role requires TS/SCI with poly, a strong quantitative background, and a decade of analytics and programming experience in R/Python/SAS/MATLAB. Travel and multi-site work are likely.

Qualifications

  • TS/SCI with agency appropriate polygraph
  • Bachelor's and Master's in a quantitative discipline from an accredited college or university
  • Ten years of experience analyzing datasets and developing analytics and ten years of experience programming with data analysis software such as R, Python, SAS, or MATLAB
  • An additional two years of experience in software development, cloud development, analyzing datasets, or developing analytics can substitute for a Master's degree
  • PhD in a quantitative discipline can substitute for four years of experience

Responsibilities

  • Develop capabilities to automate security evaluation and authorization processes
  • Use Python to process, analyze, and validate security data
  • Detect anomalies to assess RMF lifecycle progress
  • Design and maintain ETL pipelines from multiple sources
  • Transform data for reporting and automated assessments
  • Support data engineering operations including data quality checks and pipeline monitoring

Skills

Analytics
Python

Education

Bachelor's and Master's degree or higher in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science)
PhD substitution for four years experience

Tools

R
Python
SAS
MATLAB

Job description

Wyetech seeks a highly skilled data analytics professional to join the Secure the Enterprise initiative. You will shift from manual security evaluation to automated, auditable processes, leveraging Python to process security data and support RMF lifecycle assessments.

The role requires TS/SCI with poly, a strong quantitative background, and a decade of analytics and programming experience in R/Python/SAS/MATLAB. Travel and multi-site work are likely.

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