Data Scientist

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

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.

Qualifications

Required Qualifications:

A bachelor’s degree in a related field with 9+ years of relevant experience; a Master's degree in a related field with 7+ 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

Experienced in using TensorFlow, Large-language model or running open-source hugging face model

Knowledge of advanced analytics and data storage

Knowledge of various data science applications and architectures

Knowledge of Python or R

Active TS adjudication with ability to obtain the SCI and pass a Polygraph.

Desired 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

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

$135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

EEO

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

full time