Data Scientist- Mid

Responsibilities

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.

 

Possesses an expert ability to describe findings and techniques tailored to the intended audience, including technical and nontechnical decision makers. Demonstrated experience with Python or R.  Possesses knowledge and experience of advanced analytics, cloud architecture, and data storage.

Qualifications

Peraton offers enhanced benefits to employees working on this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap and eligible to participate in an attractive bonus plan.

Required Qualifications:

• A Bachelor’s degree with 8+ years of relevant experience OR a Master’s degree with 6 years of relevant experience OR a PhD with 3 years of relevant experience; an additional 4 years of experience maybe 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

Preferred Qualifications:

• 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
• TS/SCI with Poly

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Target Salary Range

$146,000 - $234,000. This represents the typical salary range for this position based on experience and other factors.