Data Scientist

6d6 days ago

Secure Technologies Group

Full-time · $140,000 – $220,000

About this role

SecureTech Data Scientists support the nation's Intelligence Community by using Mathematical, Computational, and Statistical foundations to devise strategies for revealing meaning from large data sets. They develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing datasets in various states. Opportunities abound for software developers and Computer Scientists to cross over into Data Science roles.

Data Scientists perform analytic modeling, statistical analysis, programming, and data management daily. They handle data cleaning, transformation, mining, modeling, and assessment to further mission success. These efforts directly impact U.S. National Security challenges within the Intelligence Community.

Join a team building solutions for the Intelligence Community’s most serious challenges. Positions require TS/SCI clearance with polygraph and are available in multiple locations. Make a positive impact every day in a supportive environment without employer red tape.

Multiple opportunities exist at various experience levels with compensation commensurate to qualifications. SecureTech prioritizes employees with generous benefits including PTO and training support. As an Equal Opportunity Employer, they hire qualified talent for success.

Requirements

Current TS/SCI clearance with polygraph (at least CI polygraph)
Associate's degree minimum in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science, or related field
Experience designing/implementing machine learning, data science, advanced analytical algorithms
Programming skill in at least one high-level language (e.g., Python)
Statistical analysis experience (e.g., variability, sampling error, inference, hypothesis testing, EDA, linear models)
Data management experience (e.g., data cleaning and transformation)
Experience in data mining, data modeling and assessment, artificial intelligence, and/or software engineering
Two years with Master's, three years with Bachelor's, five years with Associate's degree

Responsibilities

Devise strategies for revealing meaning and value from large data sets
Develop and implement qualitative and quantitative methods for characterizing large datasets
Explore and assess datasets in various states of origination, cleanliness, and structure
Perform analytic modeling and statistical analysis
Conduct programming in high-level languages such as Python
Manage data including cleaning and transformation
Apply data mining, data modeling, assessment, artificial intelligence techniques