Data Scientist

Job Description

Job Description

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.

Education Requirements:

• Bachelor's degree in Data Science, Mathematics, Finance, Statistics, Information Management, Computer Science, Engineering, Economics, or a related field .
• Advanced degree in a technical discipline preferred.

Clearance Requirements:

• 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 .
• An in-scope Counterintelligence Polygraph is preferred.

Location & Work Arrangement:

• Springfield, Virginia
• This position requires onsite support at the customer location .

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.

Required Qualifications:

• 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.

Preferred Qualifications:

• 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 .

Razor is an EEO Employer

Razor is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic.

Razor Benefits Overview

Razor offers a comprehensive benefits package that may include medical, dental, and vision insurance; life and disability insurance; paid time off and holidays; a 401(k) plan ; and professional development opportunities. Benefits offerings may vary based on position and employment status.