Role overview
- Remote/hybrid status is subject to change based on Noblis and/or government requirements
Responsibilities
- Identify, apply, and adapt the latest research methodologies and open-source solutions
- Develop and train new machine learning models
- Identify, curate, and process large data sets
- Research, apply, analyze, and document technical approaches and their outcomes
- Have opportunities to use various types of compute resources including on premises hardware and cloud resources
Basic qualifications
- A GPA of 3.3 or higher.
- U.S. citizenship
- Demonstrated analytical skills, strong written and oral communications, and collaboration skills.
- Must be actively pursuing an undergraduate or graduate degree with at least one semester remaining before graduation.
- All degrees must be in a STEM field such as computer science, statistics, data analytics, computer engineering, mathematics, and physics
- Ability to obtain and maintain a Top Secret with SCI and Polygraph
- The ideal candidate has proficiency with major data science tools and languages such as Python, R, PostgreSQL/SQL, Spark, and Git
- Demonstrated experience with cleaning, managing, optimizing performance with, and processing large volumes of data
- Familiarity with industry best practices for software/hardware optimization when processing large data sets and offers experience in the following required task areas: experience with machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics; experience with Hadoop, Spark, or other parallel storage/computing processes is a plus
Tags & focus areas
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