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

GRVTY

Data Science - Senior

Springfield, VA · On-site

We are looking for a Senior Data Scientist,with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and ...

GRVTY

Data Science - Senior

Springfield, VA · On-site

The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions ...

Maximus

Data Science Manager

VA · On-site +1

General information Job Posting Title Data Science Manager Date Tuesday, May 12, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is seeking a Data ...

Deloitte

Data Science Consultant

Mclean, VA · On-site

The Data Science Consultant role involves solving data problems end to end, utilizing machine learning and data analysis to enhance customer value and drive business growth. Responsibilities : • ...

Booz Allen Hamilton, Inc.

Data Science Engineer

Mclean, VA · On-site

$77.60K - $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

Data Science Engineer

Mclean, VA

$77.60K - $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 ...

DZYNE Technologies

Data Science Intern

Fairfax, VA · On-site

$27/hr

Data Science Intern Location: Fairfax, VA Work Arrangement: On-site Overview : We are seeking a Data Science Intern to support our analytics and database operations. This role focuses on database ...

Booz Allen Hamilton

Data Science Engineer

Mclean, VA

$77.60K - $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

$77.60K - $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 ...

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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 May 30, 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 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 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.

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 May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $126,884 per year, or $61 per hour.

Data Science - Senior

GRVTY

Springfield, VA • On-site

Other

Posted 14 days ago

Job description

***Requires an active TS/SCI Security Clearance****

What Impact You'll Have: 

We are looking for a Senior Data Scientist,with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community. The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC).

What You'll Be Owning:

  • Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
  • Lead and participate in the design of solutions and refinement of pre-existing processes
  • Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
  • Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data
  • Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers
  • Research and implement optimization models, strategies, and methods to inform data management activities and analysis
  • Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments
  • Conduct peer reviews to improve quality of workflows, procedures, and methodologies
  • Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge

What You Must Have: 

  • Active TS/SCI Clearance with ability to obtain a CI Poly 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
  • Experience supporting IC operations
  • Possess expert level knowledge to manipulate and analyze structured/ unstructured data
  • Demonstrated experience in data mining and developing/maintaining/manipulating databases
  • Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases
  • Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies
  • Demonstrated experience using COTS statistical software (Map Large, Tableau, MatLab) for advanced statistical analysis of operational tools and data visualization which enables large datasets to be interrogated and allows for patterns, relationships, and anticipatory behavioral likelihoods that may not be apparent using traditional single discipline means
  • Knowledge of advanced analytic methodologies, and experience in implementing and executing those methodologies to enable customer satisfaction
  • Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems
  • Experienced in conducting multi-INT and technology specific research to support mission operations
  • Possess effective communications skills; capable of providing highly detailed information in an easy-to-understand format

What Would Be Nice to Have:

  • Possess Master's degree in Data Science or related technical field
  • Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
  • Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS.
  • Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development.
  • Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs.
  • Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products

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