Data Scientists/Analysts - FS Poly

stanleyreid•Fort Meade, MD

20h

About The Position

Stanley Reid is a specialized recruiting firm connecting top contractors with exciting IC/DoD opportunities. We're dedicated to a personalized, stress-free job search, matching your unique skills and goals with the perfect role. About Our Client Our client is an unconventional data science firm that operates like a research lab, using massive datasets to solve real-world problems. They're not just technical experts—they value creativity and continuous learning. With a team of highly-skilled professionals, they offer competitive benefits and a vibrant culture with telework options, making them ideal for passionate data scientists who want to push boundaries and make a real impact. The Role Our client is seeking a talented and motivated Data Scientist to develop advanced algorithms and data-driven solutions for complex challenges. In this role, you will develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze large datasets. You will also be responsible for prototyping and evaluating algorithms, generating reports and visualizations, and translating complex data analysis into actionable recommendations for clients. The position requires you to work with minimal supervision, collaborating closely with technical staff and clients to deliver effective, data-driven solutions.

Requirements

A Bachelor's degree in Math, Statistics, Engineering, Computer Science, or a related field. A Bachelor's degree with 4+ years of relevant experience, a Master's degree with 2+ years, or a Ph.D. with 1+ year.
Proficiency with Python and R.
Experience using large datasets to solve problems.
Knowledge of and experience with machine learning, data wrangling, advanced statistical data analysis, and modeling.
AWS or Cloud experience.
The ability to communicate complex concepts in non-technical language.
TS/SCI with FS Polygraph is required.
We are not able to upgrade clearances or accept CCAs.
Please note, you must have the required clearance for consideration; under-cleared applicants will not receive a response.

Nice To Haves

Familiarity with relational databases (e.g., Oracle, SQL) and commercial/open-source data science software is a plus.

Responsibilities

Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze large datasets.
Prototyping and evaluating algorithms
Generating reports and visualizations
Translating complex data analysis into actionable recommendations for clients.
Work with minimal supervision, collaborating closely with technical staff and clients to deliver effective, data-driven solutions.