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Data Science Jobs in Silver Spring, MD (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Science Engineer

Mclean, VA · On-site

$77K - $176K/yr

Data Science Engineer The Opportunity: As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the most mission ...

Booz Allen Hamilton, Inc.

Data Science Engineer

Mclean, VA · On-site

$77K - $176K/yr

Share Data Science Engineer The Opportunity: As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the most ...

Booz Allen Hamilton

Data Science Engineer

Mclean, VA · On-site

$77K - $176K/yr

As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the most mission-driven projects in the industry. You'll ...

Booz Allen Hamilton

Data Science Engineer

Mclean, VA · On-site

$77K - $176K/yr

Data Science Engineer The Opportunity: As a Data Science Engineer, you'll help build advanced technology solutions and implement data science and engineering activities on some of the most mission ...

Blend360

Data Science Manager

Columbia, MD · On-site

... across data science, analytics, and operations teams to drive high-quality delivery and actionable insights Provide leadership and mentorship to junior team members while helping drive rigor and ...

Power3 Solutions

SWE3 - Data Science

Laurel, MD · On-site

$200K - $275K/yr

Data Science skills/background * Experience with AWS * Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA) * Agentic AI * Large Language Models (LLM)

Power3 Solutions

SWE3 - Data Science

Laurel, MD

$200K - $275K/yr

Data Science skills/background * Experience with AWS * Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA) * Agentic AI * Large Language Models (LLM)

Power3 Solutions

SWE3 - Data Science

Laurel, MD

$200K - $275K/yr

Data Science skills/background * Experience with AWS * Experience implementing ML systems * Experience with Spark * Exploratory Data Analysis (EDA) * Agentic AI * Large Language Models (LLM)

Blend360

Data Science Manager

Columbia, MD · On-site +1

$125K - $160K/yr

Coordinate across data science, analytics, and operations teams to drive high-quality delivery and actionable insights * Provide leadership and mentorship to junior team members while helping drive ...

Blend360

Data Science Manager

Columbia, MD

$125K - $160K/yr

Coordinate across data science, analytics, and operations teams to drive high-quality delivery and actionable insights * Provide leadership and mentorship to junior team members while helping drive ...

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Showing results 1-20

All JobsData Science JobsData Science Jobs in Silver Spring, MD

Data Science information

See Silver Spring, MD salary details

$38.8K

$126.9K

$203.1K

How much do data science jobs pay per year?

As of Jun 20, 2026, the average yearly pay for data science in Silver Spring, MD is $126,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,800.00 and $140,600.00 per year, depending on experience, location, and employer.

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

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 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.

What jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

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 jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Silver Spring, MD? The most popular types of Data Science jobs in Silver Spring, MD are:
What are popular job titles related to Data Science jobs in Silver Spring, MD? For Data Science jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Silver Spring, MD look for? The top searched job categories for Data Science jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Data Science jobs? Cities near Silver Spring, MD with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Silver Spring, MD as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $126,884 per year, or $61 per hour.
Data Science - Technical

Data Science - Technical

US Department of Homeland Security

Washington, DC • On-site

$106K/yr

Other

Posted 8 days ago

U.S. Department Of Homeland Security rating

7.8

Company rating: 7.8 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

85th of 276 rated public sector bodies

Job description

The Department of Homeland Security (DHS) is recruiting professionals to support a range of technical roles in Cybersecurity Data Science, including Data Scientist, Data Engineers, Artificial Intelligence (AI) Specialist, AI Operations Analyst, Data Modeler, Data Security Officer and Operations Research Analyst. All positions are in the DHS Cybersecurity Service.Qualifications:

This position is in the Technical Track across a range of career levels. Employees in this career track generally:

  • Have between 5-15 years of cybersecurity work experience.
  • Range from experienced cybersecurity professionals who apply technical expertise and independent judgement to perform cybersecurity work - to - recognized Federal cybersecurity technical authorities with uncommon technical expertise who advise on cybersecurity challenged impacting DHS and the Nation.
DHS Cybersecurity Service employees with a technical capability in Cybersecurity Data Science will generally:
  • Examine data with the goal of providing new insight for the purposes of cybersecurity.
  • Design and implement custom algorithms, flow processes and layouts for complex, enterprise-scale data sets used for modeling, data analytics, and research purposes.
  • Apply understanding of cybersecurity field to inform analytical methodologies and algorithms selected for implementation.
  • Design, build, implement, integrate, and maintain systems and tools for data trend and pattern analysis of cyber data.
  • Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques.
  • Communicate insights gained to mission user.

DHS Cybersecurity Service employees start at career levels and salaries matching their experience and expertise. To learn more about DHS Cybersecurity Service career tracks and levels, visit our application portal.
This position is focused on Cybersecurity Data Science.
DHS Cybersecurity Service jobs are structured cybersecurity specializations - called technical capabilities. To learn more about technical capabilities, visit our application portal.

Education:Degrees are not required for jobs in the DHS Cybersecurity Service, but DHS is interested in your level of education and the topics you studied. As you submit initial application information, you will be asked questions about your education.Employment Type: OTHER

What U.S. Department Of Homeland Security employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

U.S. Department of Homeland Security logo

About U.S. Department of Homeland Security

Sourced by ZipRecruiter

The US Department of Homeland Security (DHS) is a federal agency operating within the government services industry in Washington, DC, US. Established in 2003, the DHS is directly responsible for public security, roughly comparable to the interior or home ministries of other countries. Its main responsibilities include protecting the United States from and responding to terrorist attacks, man-made accidents, and natural disasters. Through its more than 20 component agencies including Coast Guard, Customs and Border Protection, Immigration and Customs Enforcement, it ensures the safety of the US through numerous programs and initiatives. The DHS upholds a core value system with the mission of safeguarding the American people, our homeland, and values. Notably, the DHS plays a critical role in the spectral range of activities to prepare, prevent, and respond to possible threats to the US.

Industry

Public administration

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

2003

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