Data Scientist

MANTECH•Springfield, VA

14h•$91,600 - $153,800•Onsite

About The Position

MANTECH seeks a motivated, career and customer-oriented Data Scientist to join our team in Springfield, VA. This is a full-time onsite position. The Data Scientist shall work directly with clients, managers and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. The position is responsible for creating and deploying predictive models from a wide variety of data sources and types using the latest mathematical and statistical methods.

Requirements

Bachelor’s degree from an accredited college or university in Data Management, Data Engineering, Information Systems, Data Science, Computer Science, Software Engineering, Statistics, Mathematics, Physics, or bachelor’s degree with 30 semester hours in a combination of Mathematics, Statistics, and Computer Science.
3+ years of professional experience that includes data extraction, ingestion, and modeling.
Experience with Python and with writing advanced SQL queries
Knowledge of model evaluation approaches including techniques for improving initial model development and deployed models
Ability to work with Subject Matter Experts to understand business rules and translate them to technical specifications.
Must have a current/active TS/SCI clearance with the ability to obtain and maintain a polygraph
Must be able to remain in a stationary position for extended periods while performing imagery analysis and reporting.
Must be able to occasionally move about the work area to collaborate with team members and access mission systems.

Nice To Haves

Experience with behavioral analytics
Experience with Oracle Apex
Experience with fine-tuning BERT-style modeling for downstream NLP tasks
Experience with large language models
Familiarity with developing GPU enabled AI/ML solutions
Experience using Git-based version-control, such as Github/Gitlab
Familiarity with building CI/CD pipelines.

Responsibilities

Work directly with clients, managers and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems.
Create and deploy predictive models from a wide variety of data sources and types using the latest mathematical and statistical methods.
Communicate clearly both verbally and in writing to teammates and clients.