Data Scientist

Peraton • Herndon, VA

9d • $112,000 - $179,000 • Onsite

About The Position

Our program supports unclassified and classified software development and integration services. Some of the work we will do is brand new Big Data, data analysis, Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics, while other work will be refining and improving legacy development, as well as providing operations and maintenance
Position Responsibilities:
Work with customer’s Chief Technology Office to further application and understanding of data science. Apply technical methods to data science problems supporting business and mission users. Advise or lead interdisciplinary teams throughout the full course of a data science project life cycle. Understands Machine Learning and is able to apply machine learning, multivariable calculus, and linear algebra techniques and approaches, including but not limited to, k-nearest neighbors, random forests, and ensemble methods. Understands Data Visualization and is able to employ visualization and data to enable data driven decisions.

Requirements

• A bachelor’s degree in a related field with 8+ years of relevant experience; a Master's degree in a related field with 6+ years of relevant experience; a PhD in a related field with 3+ years of relevant experience; OR an additional 4 years of experience maybe considered in lieu of a degree requirement
• Knowledge of Python or R
• Experienced in using TensorFlow, Large-language model or running open-source hugging face model
• Possesses knowledge of advanced analytics and data storage
• Demonstrated oral and written communication skills
• Knowledge of various data science applications and architectures
• Active TS adjudication with ability to obtain the SCI and polygraph

Nice To Haves

• Polished oral and written communication skills sufficient to compose, tailor, and deliver original presentations and papers on abstract concepts
• Develops and employs strategies to analyze key issues, draw conclusions from data, and recommend viable solutions to address customer mission needs.
• Ability to lead multi-disciplinary teams to complete complex data science projects.

Responsibilities

• Work with customer’s Chief Technology Office to further application and understanding of data science.
• Apply technical methods to data science problems supporting business and mission users.
• Advise or lead interdisciplinary teams throughout the full course of a data science project life cycle.
• Understands Machine Learning and is able to apply machine learning, multivariable calculus, and linear algebra techniques and approaches, including but not limited to, k-nearest neighbors, random forests, and ensemble methods.
• Understands Data Visualization and is able to employ visualization and data to enable data driven decisions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees