Description

You will build machine learning and statistical solutions to solve complex data challenges.

This role is on-site.

Responsibilities

• Develop and implement machine learning, data mining, and graph-based algorithms on large datasets.
• Prototype, evaluate, and select final models based on performance metrics.
• Design experiments or create models when training data is unavailable.
• Generate reports and visualizations that provide actionable insights to clients.
• Collaborate with subject matter experts to automate manual analysis and integrate analytics into production.

Required Skills

• Proficiency in Python and R.
• Experience using large datasets to solve problems.
• Knowledge of machine learning, data wrangling, and advanced statistical modeling.
• Experience with AWS or Cloud environments.
• Familiarity with relational databases (Oracle, SQL) and ETL tools.
• Ability to communicate complex models in non-technical language.
• Current TS/SCI with Polygraph (FSP) clearance.
• Bachelor’s degree with 4+ years of experience, or Master’s with 2+ years.

Preferred Skills

• Familiarity with commercial and open-source data science software.

Key Skills

Education

Any Graduate