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

Elder Research

Data Scientist

Arlington, VA ยท On-site

Data Scientist General Information Requisition # 712 Locations USA-VA-Arlington Posting Date 06/12/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Analygence

Data Scientist

Arlington, VA ยท On-site

Tharros is seeking a Data Scientist to serve as the program's senior analytical authority, leading development and application of advanced data science methods, analytical models, and Palantir ...

VTG

Data Scientist

Mclean, VA ยท On-site

Overview VTG is seeking a talented and experienced Data Scientist to join our dynamic and innovative team in Herndon, VA/Chantilly, VA. What will you do? * Collect, clean, and analyze large, complex ...

Govcio LLC

Data Scientist

Fort George G Meade, MD ยท On-site

$156K - $176K/yr

GovCIO is currently hiring for a Data Scientist to define the characteristics of high-quality training data . This position will be located in Fort Meade, MD and will be an onsite position.

THOMSON REUTERS

Data Scientist

Mclean, VA ยท Hybrid

Data Scientists supporting these efforts work at the intersection of data science, applied research, and software engineering to develop advanced capabilities, prototype new applications, and help ...

Elder Research

Data Scientist

Arlington, VA

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

ECS

Data Scientist

Springfield, VA ยท On-site

ECS is seeking a Data Scientist to work onsite at our Springfield, VA customer's office. ECS seeks a Data Scientist to support the development and integration of Big Data/Cloud Solutions. The ...

VTG

Data Scientist

Chantilly, VA ยท On-site

Overview VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of experience leveraging data to drive business insights and decision-making. The ideal candidate will have ...

Leidos

Data Scientist

Silver Spring, MD ยท On-site

$69K - $125K/yr

Are you a TS/SCI cleared Data Scientist that likes to perform research-level data science/analytics? Come support a major program advancing the state of the art in mission-focused big data and ...

Leidos

Data Scientist

Bethesda, MD ยท On-site

$69K - $125K/yr

Are you a TS/SCI cleared Data Scientist that likes to perform research-level data science/analytics? Come support a major program advancing the state of the art in mission-focused big data and ...

ManTech

Data Scientist

Arlington, VA ยท On-site

As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

CACI International, Inc.

Data Scientist

Alexandria, VA ยท On-site

Data Scientist Job Category: Intelligence Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 50% Type of Travel: Continental ...

TAD PGS, Inc.

Data Scientist

Washington, DC ยท On-site

$52.88 - $57.69/hr

We have an outstanding Contract position for a Data Scientist to join a leading Company located in the Washington, DC surrounding area. Pay Rate: $52.88 - $57.69 **US Citizenship is required.

Leidos

Data Scientist

Glen Echo, MD ยท On-site

$69K - $125K/yr

Are you a TS/SCI cleared Data Scientist that likes to perform research-level data science/analytics? Come support a major program advancing the state of the art in mission-focused big data and ...

VT Group (VTG)

Data Scientist

Chantilly, VA ยท On-site

VTG is looking for a Data Scientist in Chantilly, VA, to support government and program teams with data analysis, visualization, and reporting. The role involves performing data analysis and modeling ...

Leidos

Data Scientist

Springfield, VA ยท On-site

The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine learning, artificial intelligence, data exploitation, and analytic tradecraft. This role requires on ...

KBR, Inc

Data Scientist

Chantilly, VA ยท On-site

$150 - $181/hr

Title: Data Scientist Data Scientist provides Systems Engineering and Technical Assistance (SETA) support to our customer's mission by evaluating, assessing, and improving advanced analytics ...

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Showing results 41-60

All JobsData Scientist JobsData Scientist Jobs in Silver Spring, MD

Data Scientist information

See Silver Spring, MD salary details

$38.8K

$126.9K

$203.1K

How much do data scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data scientist 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, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.
More about Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Silver Spring, MD?

The most popular types of Data Scientist jobs in Silver Spring, MD are:

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For Data Scientist jobs in Silver Spring, MD, the most frequently searched job titles are:

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Cities near Silver Spring, MD with the most Data Scientist job openings:

Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,884 per year, or $61 per hour.

Data Scientist

Elder Research

Arlington, VA โ€ข On-site

Full-time

Re-posted 29 days ago

Job description

Data Scientist
General Information
Requisition # 712
Locations USA-VA-Arlington
Posting Date 06/12/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area.
As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts.
In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication.
Responsibilities include but are not limited to:
  • Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration
  • Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation
  • Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science๏ฟฝdriven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders
  • Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results
  • Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact
  • Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment
  • Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills

Minimum Qualifications:
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
  • 2-10+ years of experience in data science, analytics, or a related technical field
  • Experience using version control systems (e.g., Git) and collaborative development practices
  • Strong understanding of relational databases and SQL
  • Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone
  • Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges
  • Willingness to travel and work on-site at client locations as required by project needs

Preferred Qualifications:
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)
  • Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as Databricks and AWS
  • Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities
  • Experience with containerization and environment management (e.g., venv, conda)
  • Experience operating in secure or remote government environments, including use of bash and command-line tools

Clearance Requirements:
  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:
  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situation

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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