Data Scientist

TalentOps; Springfield (VA); On-site; USD 110,000 - 160,000; Full time

Job summary

TalentOps is seeking a seasoned Data Scientist for an onsite role in Springfield, VA, supporting government programs focused on Big Data, cloud technologies, analytics, and ML. The candidate will build data pipelines, transform complex datasets, and collaborate with engineers and leadership in Agile teams.

The role requires 5+ years of experience, a related bachelor's degree, Python proficiency, Linux scripting, and DoD clearance readiness.

Qualifications

• Bachelor's degree in a related field (Data Science, Math, Stats, CS, Engineering, Finance, Economics, Information Management)
• 5+ years of relevant experience in Data Science or related technical discipline
• Proficiency with Python for data extraction, manipulation, and processing
• Experience with Linux shell scripting
• Experience transforming and processing structured and unstructured datasets
• Experience parsing multiple data formats for ML applications
• Experience developing or supporting data pipelines and automated data-ingestion processes
• Strong analytical, troubleshooting, and problem-solving skills
• Excellent written and verbal communication skills
• Ability to communicate technical concepts to both technical and non-technical stakeholders
• Ability to work effectively in a fast-paced Agile development environment

Responsibilities

• Extract, transform, and standardize data from multiple sources for integration into consolidated data environments.
• Design, develop, and maintain data pipelines and services supporting analytics and ML applications.
• Automate data ingestion and processing workflows to improve efficiency and reliability.
• Manage, manipulate, transform, and parse structured and unstructured datasets.
• Utilize Python and other statistical tools to extract, process, and analyze data.
• Collaborate with software engineers and architects to develop and integrate applications supporting analytic workflows.
• Support data preparation and processing for ML initiatives.
• Work with program leadership and engineering teams to implement and document technical requirements.
• Participate in Agile/Scrum development activities and collaborate across multidisciplinary teams.
• Troubleshoot data-related challenges and recommend improvements to existing processes and solutions.

Skills

Python

Linux shell scripting

Data pipelines

Analytical thinking

Communication skills

Agile teamwork

Education

Bachelor's degree in Data Science / Mathematics / Statistics / CS / Engineering

Tools

Apache Spark

AWS

Azure

Oracle Converged Database

Job description

Location: Springfield, VA
Employment Type: Full-Time
Work Arrangement: Onsite
Clearance Required: Active Top Secret with SCI eligibility; must be able to obtain and maintain a CI Polygraphgraph
Experience: 5+ Years

Position Overview

We are seeking an experienced Data Scientist to support one of our clients in Springfield, Virginia. This position offers the opportunity to work on mission-critical government programs focused on Big Data, cloud technologies, advanced analytics, and Machine Learning (ML).

The ideal candidate will have experience working with complex datasets, developing data pipelines, and supporting data-driven applications. You will collaborate with software engineers, architects, and program leadership in an Agile environment to develop scalable solutions that support critical government missions.

Key Responsibilities

Extract, transform, and standardize data from multiple sources for integration into consolidated data environments.

Design, develop, and maintain data pipelines and services supporting analytics and Machine Learning applications.

Automate data ingestion and processing workflows to improve efficiency and reliability.

Manage, manipulate, transform, and parse structured and unstructured datasets.

Utilize Python and other statistical programming tools to extract, process, and analyze data.

Collaborate with software engineers and architects to develop and integrate applications supporting analytic workflows.

Support data preparation and processing for Machine Learning initiatives.

Work with program leadership and engineering teams to implement and document technical requirements.

Participate in Agile/Scrum development activities and collaborate across multidisciplinary teams.

Troubleshoot data-related challenges and recommend improvements to existing processes and solutions.

Required Qualifications

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

5+ years of relevant experience in Data Science, Computer Science, Computer Engineering, or a related technical discipline.

Proficiency with Python for data extraction, manipulation, and processing.

Experience with Linux shell scripting.

Strong experience transforming and processing structured and unstructured datasets.

Experience parsing multiple data formats for Machine Learning applications.

Experience developing or supporting data pipelines and automated data-ingestion processes.

Strong analytical, troubleshooting, and problem-solving skills.

Excellent written and verbal communication skills.

Ability to communicate technical concepts to both technical and non-technical stakeholders.

Ability to work effectively in a fast-paced Agile development environment.

Preferred Qualifications

Advanced degree in a technical discipline.

Experience with cloud platforms such as AWS or Microsoft Azure.

Experience with Apache Spark.

Familiarity with Oracle Converged Database.

Previous experience supporting Department of Defense (DoD) programs or organizations.

DoD 8570 IAT Level II certification, such as Security+ or CySA+.

Security Clearance Requirements

Must be a U.S. Citizen.

Active Top Secret clearance required.

Must have SCI eligibility and the ability to obtain and maintain a Counterintelligence (CI) Polygraph.

Current, in-scope CI Polygraph preferred.

Work Location

This position is located in Springfield, Virginia, and requires onsite support at the customer location.

Our client is an Equal Opportunity Employer committed to providing equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic.