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Data Science Jobs in Laurel, MD (NOW HIRING)

Integral

Cybersecurity Lead

Picatinny Arsenal, NJ

Collect data to support reporting and IA management activities across the investment life cycle ... Bachelor's Degree in Computer Science or similar Information Technology Field. * 7 years ...

Blend360

Associate Director of Data Science

Columbia, MD · On-site

$58K - $59K/yr

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 ...

Blend360

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

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 ...

Bytoa

Data Science Software Engineer

Columbia, MD · On-site

$185 - $200/hr

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 ...

New

Summit

Data Science Consultant (Hybrid)

Washington, DC · On-site

$90K - $110K/yr

Data Science Consultant Location * Washington, DC Area (Hybrid) Summit is a specialized analytics firm that uses economics, statistics, and analytics to solve complex challenges for federal, state ...

Summit

Data Science Consultant (Hybrid)

Washington, DC · On-site

$90K - $110K/yr

Data Science ConsultantLocationWashington, DC Area (Hybrid) Summit is a specialized analytics firm that uses economics, statistics, and analytics to solve complex challenges for federal, state, and ...

YO AI Labs

AI Data Science Expert - Remote

Washington, DC · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

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All JobsData Science JobsData Science Jobs in Laurel, MD

Data Science information

See Laurel, MD salary details

$38.4K

$125.8K

$201.4K

How much do data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science in Laurel, MD is $125,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,000.00 and $139,400.00 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.
More about Data Science jobs

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

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

What are popular job titles related to Data Science jobs in Laurel, MD?

For Data Science jobs in Laurel, MD, the most frequently searched job titles are:

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

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

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

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

Data Science jobs near you
Infographic showing various Data Science job openings in Laurel, MD as of August 2026, with employment types broken down into 90% Full Time, 2% Part Time, and 8% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $125,794 per year, or $60.5 per hour.

Senior Data Science Consultant

National Science Teachers Association

Washington, DC • On-site

$140 - $190/hr

Other

Posted 6 days ago

Job description

Role: Senior Data Science Consultant

Location: Washington, DC

Education: M.A./M.S. Degree (Any Field or Major)

Years of Experience: 10+ years of general work experience (Any Field / Industry)

Clearance Level & Investigation: Current/Active TS with ability to obtain & hold TS SCI / TS SCI Caveats for duration of program

Citizenship: U.S.

DoD 8140 Cyber Workforce Qualifications: None

Required Certifications: Palantir Foundry Application Developer certification

Job Description:

Qualifications:

  • Works on high-visibility or mission critical aspects of a given program.
  • Performs all functional duties independently.
  • May oversee the efforts of less senior staff and/or be responsible for the efforts of all staff assigned to a specific job.
  • Supports analytical workflow enablement, sustainment, and scaling of data products across an enterprise.
  • Utilizes enterprise data platform capabilities to support analytics, automation, and decisions.
  • Supports configuration and use of Government-directed data platform capabilities to enable data analysis, monitoring, reporting, and automation.
  • Requires an M.A. or M.S. Degree in any field or major.
  • Must have 10+ years of general work experience in any field or industry.
  • Must hold a current, active Top-Secret clearance and have ability to obtain/maintain a TS SCI / TS SCI Caveats for duration of program.
  • Must be a current legal citizen of the United States.
  • Must hold a Palantir Foundry Application Developer certification.

Responsibilities:

Mission Assurance Assessment Support:

  • Provide Mission Assurance assessment support services to enable Customer to plan, coordinate, augment, analyze, & manage assessments conducted; provide assessment-related activities as supporting capability.
  • Perform assessment process support, data collection and stewardship, analytical exploitation of assessment data, & integration of assessment outputs with Mission Analysis, Critical Asset Identification, and Risk Management activities.

Assessment Data Analysis and Advanced Analytics

  • Support analysis & exploitation of assessment data to enable improved decision-making across enterprise; support Customer’s role as steward for Mission Assurance assessment data, ensuring assessment-related data collected, structured, governed, & analytically usable IAW Government direction & Mission Assurance data governance requirements.
  • Collect, aggregate, normalize, & analyze assessment data, including data derived from DoW Assessments, USAF-specific assessment activities, & related stakeholder reports.
  • Integrate & synthesize assessment data to identify trends, systemic vulnerabilities, recurring dependencies, cross-mission risk drivers, & enterprise-level patterns.
  • Integrate assessment data with mission mapping, critical capability/asset identification, & criticality analysis outputs developed.
  • Collect & analyze data from other related assessments / data sources (e.g., Joint, Service, infrastructure, cyber, resilience, operational assessments) to enrich Mission Assurance analysis & reduce redundant data collection.
  • Develop & apply advanced analytical techniques, including artificial intelligence and machine learning methods, to extract insights from Assessment Reports & related stakeholder documentation.
  • Support development of analytical products, dashboards, models, & decision-support artifacts derived from assessment data using Government-directed data platforms / analytical tools.
  • Ensure traceability, data quality, & analytical transparency across assessment data sources / derived analytical products.

Mission Assurance Data Platform Enablement & Analytical Support:

  • Provide data platform enablement & analytical support to ensure data, models, & analytical products developed are usable, scalable, maintainable, & decision relevant.
  • Provide cross-cutting data workflow, analytics, & platform utilization support; execute data activities in direct support of mission analysis, assessment, risk management, monitoring, & governance activities.
  • Use Government-directed enterprise data platforms and services.
  • Support business process workflows executed for planning, coordination, governance, & decision-making; enable, sustain, & improve related workflow processes, coordination activities, & knowledge management practices implemented within Government-directed enterprise data platforms.
  • Support management / execution of Mission Assurance data projects within Government-directed enterprise data platforms; support analytical workflow enablement, sustainment, & scaling of data products, analytics, & workflows that enable Mission Assurance execution across enterprise, including workflows supporting coordination, governance cycles, reporting, task tracking, & internal business processes.
  • Perform data platform support within t enterprise data platform environment; requires proficiency in utilizing enterprise data platform capabilities to support analytics, automation, & decision support, consistent with capabilities available to other enterprise data platform users.

Analytical Support to Mission Assurance Activities

  • Provide analytical & data workflow support to contract enterprise activities.
  • Support analytical needs of Mission Analysis, Assessment Support, & Risk Management activities, including data preparation, transformation, modeling, & visualization.
  • Support ad hoc & recurring analytical requests from Customer, DAF stakeholders, MAJCOM representatives, & DoW stakeholders.
  • Support analytical workflow enablement & sustainment of dashboards, monitoring views, & decision-support products using Government-directed data platforms.
  • Support implementation of analytical automation to reduce manual data handling & improve timeliness / consistency of products.
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