Data Scientist Level 2

Role Overview

Develops machine learning, data mining, statistical, and graph-based algorithms to analyze complex datasets, build and evaluate models, generate data-driven insights, and support the integration of analytics into production workflows.

What You Will Do

Produce data visualizations, work with subject matter experts, develop scripts, translate customer qualitative analysis processes into quantitative formulations, and develop statistical, machine learning, and heuristic techniques.

Why It Might Be a Fit

Requires proficiency in programming languages, strong foundation in statistics and probability, knowledge of machine learning algorithms, and experience with data wrangling, data visualization tools, and database management systems.

Requirements

• Active TS/SCI with Full Scope Polygraph
• Proficiency in programming languages such as Python and R
• Strong foundation in statistics and probability
• Knowledge of machine learning algorithms and frameworks
• Ability to perform data wrangling
• Familiarity with SQL and database management systems
• Experience with data visualization tools
• Bachelor’s degree from an accredited college or university in a quantitative discipline
• Five (5) years of experience analyzing datasets and developing analytics
• Five (5) years of experience programming with data analysis software