Data Scientist

Peraton • Herndon, VA

145d • $135,000 - $216,000

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.

Requirements

• A Bachelor's degree with 12+ years of relevant experience OR a Master's degree with 10+ years of relevant experience OR a PhD with 7+ years of relevant experience; an additional 4 years of experience may be considered in lieu of a degree requirement.
• Demonstrated experience with Python or R.
• Possesses knowledge and experience of advanced analytics and data storage.
• Demonstrated oral and written communication skills.
• Knowledge of various data science applications and architectures.
• Active TS/SCI with ability to obtain a Poly.

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.
• Experience with AWS or similar cloud provider.
• Demonstrated experience in solving problems with structured and unstructured data.
• Experienced in applying statistical and data visualization skills.
• Strong problem solving skills to manipulate data and draw insights from large data sets.
• Proven ability to learn and master new software, technologies and techniques.
• Experience in two or more of the following: Python, Machine Learning, Natural Language Processing, Neural Networks, Apache Spark, Hadoop, R, C++, SQL Database/Coding, or visualization tools such as Tableau.

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.
• Understand Machine Learning and apply machine learning, multivariable calculus, and linear algebra techniques and approaches.
• Employ visualization and data to enable data driven decisions.
• Describe findings and techniques tailored to the intended audience, including technical and nontechnical decision makers.
• Demonstrate experience with Python or R.
• Possess knowledge and experience of advanced analytics, cloud architecture, and data storage.

Benefits

• Heavily subsidized employee benefits coverage for you and your dependents.
• 25 days of PTO accrued annually up to a generous PTO cap.
• Eligible to participate in an attractive bonus plan.

What This Job Offers

• Career Level: Senior
• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Education Level: Bachelor's degree