Data Scientist

Razor•Springfield, VA

11d•Onsite

About The Position

Razor is seeking an experienced Data Scientist to support the development and integration of Big Data and Cloud solutions within a mission-critical government environment. This role will focus on managing, manipulating, transforming, and parsing complex datasets to support analytics and Machine Learning applications. The Data Scientist will work within a multidisciplinary Agile team alongside software engineers, architects, and program leadership to develop data pipelines, automate data ingestion, and integrate applications supporting analytic workflows.

Requirements

5+ years of experience in Data Science, Computer Science, Computer Engineering, or a related technical area.
Proficiency parsing data in multiple formats for Machine Learning applications.
Proficiency with Linux shell scripting.
Experience using statistical programming languages such as Python to extract and manipulate data.
Strong technical proficiency transforming structured and unstructured datasets.
Experience developing or supporting data pipelines and data-ingestion processes.
Strong analytical and problem-solving skills.
Excellent written, verbal, and presentation skills.
Ability to communicate technical concepts effectively to both technical and non-technical audiences.
Ability to work effectively within a fast-paced, multidisciplinary Agile environment.
Must be a U.S. Citizen.
Active Top Secret clearance is required.
Must have SCI eligibility and the ability to obtain and maintain a CI Polygraph.

Nice To Haves

Advanced degree in a technical discipline.
An in-scope Counterintelligence Polygraph.
Experience with cloud technologies such as Amazon Web Services (AWS) or Microsoft Azure.
Experience with Oracle Converged Database.
Experience with Apache Spark.
Experience supporting Department of Defense organizations or programs.
DoD Approved 8570 IAT Level II certification, such as Security+ or CySA+.

Responsibilities

Work closely with software engineers and architects to extract, transform, and standardize data from multiple sources for ingestion into consolidated environments.
Design and develop data services and pipelines as part of an Agile/Scrum team.
Support continuous process automation for data ingestion.
Support the development and integration of applications for analytic workflows.
Manage, manipulate, transform, and parse structured and unstructured datasets.
Utilize statistical programming languages such as Python to extract and manipulate data.
Work with program management and engineering teams to implement and document complex and evolving requirements.
Support data preparation and processing for Machine Learning applications.
Perform multiple tasks simultaneously while adapting to changing requirements and deadlines.
Collaborate across multidisciplinary teams to support mission-critical data and analytics initiatives.