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Data Science Jobs in Gaithersburg, MD (NOW HIRING)

Data Science Specialist

Mclean, VA · On-site

$146K - $234K/yr

The Data Science Specialist will leverage technical expertise in software engineering, data analysis, data integration, and data modeling to develop innovative analytic capabilities supporting ...

Center 1 (19052), United States of America, McLean, Virginia Manager, Data Science Manager, Data Science positions offered by Capital One Services, LLC (McLean, VA). Exercising discretion at a more ...

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical ...

Center 1 (19052), United States of America, McLean, Virginia Manager, Data Science Manager, Data Science positions offered by Capital One Services, LLC (McLean, VA). Exercising discretion at a more ...

Data Scientist III

Chantilly, VA · On-site

$135K - $180K/yr

This role focuses on applying data science, machine learning, and data engineering techniques to advanced science and technology (S&T) mission challenges. The ideal candidate is technically curious ...

You'll work on end-to-end data science initiatives, with opportunities to design and implement cutting-edge generative AI (GenAI) and LLM-powered solutions. Key Responsibilities Data Science ...

You'll work on end-to-end data science initiatives, with opportunities to design and implement cutting-edge generative AI (GenAI) and LLM-powered solutions. Key Responsibilities Data Science ...

You'll work on end-to-end data science initiatives, with opportunities to design and implement cutting-edge generative AI (GenAI) and LLM-powered solutions. Key Responsibilities Data Science ...

In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization. * Lead the ...

Join us as a Data Scientist supporting a high-impact mission. We are looking a motivated and mission-driven engineer and scientist to help develop and shape how SIGINT data is processed, modeled, and ...

Bachelor's Degree in computer science or an IT-related degree with 7 years of experience * Possesses any one of the following IAT I Certifications: A+ CE, CCNA-Security, CND, Network+ CE, or SSCP

Showing results 21-40

Data Science information

See Gaithersburg, MD salary details

$40.5K

$132.6K

$212.3K

How much do data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science in Gaithersburg, MD is $132,613.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $146,900.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the most commonly searched types of Data Science jobs in Gaithersburg, MD?

The most popular types of Data Science jobs in Gaithersburg, MD are:

What job categories do people searching Data Science jobs in Gaithersburg, MD look for?

The top searched job categories for Data Science jobs in Gaithersburg, MD are:

What cities near Gaithersburg, MD are hiring for Data Science jobs?

Cities near Gaithersburg, MD with the most Data Science job openings:

Infographic showing various Data Science job openings in Gaithersburg, MD as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $132,613 per year, or $63.8 per hour.

Data Science Specialist

Peraton

Mclean, VA • On-site

$146K - $234K/yr

Full-time

Posted 11 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

52nd of 226 rated it services


Job description

Responsibilities

Peraton is seeking an experienced Data Science Specialist to join our talented team supporting a critical mission for an Intelligence Community customer. The successful candidate will apply advanced analytical techniques to large-scale structured, semi-structured, and unstructured data to support mission operations and enable informed decision making.

The Data Science Specialist will leverage technical expertise in software engineering, data analysis, data integration, and data modeling to develop innovative analytic capabilities supporting complex customer requirements. The successful candidate will work closely with government stakeholders and technical teams to identify meaningful relationships within data, develop scalable analytic solutions, and deliver mission-focused recommendations.

The Data Science Specialist will be responsible for the following, but not limited to:

  • Analyze structured, semi-structured, and unstructured datasets to identify entities, relationships, patterns, and trends.
  • Develop software and analytic solutions supporting enterprise data analysis and mission requirements.
  • Design, develop, and maintain data ingestion, transformation, and integration processes.
  • Support data migration and data warehousing initiatives across multiple enterprise systems.
  • Develop scripts and applications to automate data processing and improve analytic workflows.
  • Perform data modeling, database design, and data quality analysis.
  • Design and implement REST-based services and data interfaces supporting enterprise applications.
  • Utilize object-oriented design principles and modern software development methodologies to develop scalable applications.
  • Collaborate with government customers, engineers, and software developers to define technical requirements and implement analytic solutions.
  • Present technical findings and recommendations to government stakeholders.
  • Support multiple concurrent technical efforts in a fast-paced mission environment.
Qualifications

Required

  • Active TS/SCI security clearance with relevant polygraph.
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Physics, or another related technical discipline with 8 years of relevant experience; Master's degree with 6 years of relevant experience; an additional four years of experience may be considered in lieu of degree.
  • Experience analyzing structured, semi-structured, and unstructured datasets.
  • Experience developing software applications using one or more modern programming languages such as Python, Java, or C#.
  • Experience with object-oriented analysis, design, and programming.
  • Experience with data migration, data transformation, and enterprise data integration.
  • Experience with data warehousing concepts and database modeling.
  • Experience utilizing data exchange technologies such as XML, JSON, XSLT, JDBC, SOAP, and REST.
  • Experience designing and developing database-driven applications.
  • Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions.
  • Excellent written and verbal communication skills.
  • Ability to work independently and collaboratively within a dynamic team environment.

Desired

  • Experience supporting Intelligence Community customers.
  • Experience with graph databases or graph analytics technologies.
  • Experience with Neo4j or similar graph database platforms.
  • Experience with enterprise software development frameworks.
  • Experience with statistical analysis, data visualization, or advanced analytics.
  • Experience supporting data warehouse modernization or enterprise data migration initiatives.
  • Experience working within Agile software development environments.
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. 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.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017