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Data Science Jobs in Lanham, MD (NOW HIRING)

Tulk LLC

Data Science SME Mid

Fort Belvoir, VA · On-site

$115K - $157K/yr

Data Science SME Mid TULK supports U.S. national security customers with cleared experts who understand the mission, the tradecraft, and the people who have to make decisions with imperfect ...

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 ...

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 ...

Integral

Software Developer

Picatinny Arsenal, NJ

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

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 ...

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 ...

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 ...

Tulk LLC

Data Science SME Senior

Fort Belvoir, VA · On-site

$120K - $171K/yr

Data Science SME Senior TULK supports U.S. national security customers with cleared experts who understand the mission, the tradecraft, and the people who have to make decisions with imperfect ...

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All JobsData Science JobsData Science Jobs in Lanham, MD

Data Science information

See Lanham, MD salary details

$37.5K

$122.8K

$196.7K

How much do data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science in Lanham, MD is $122,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $136,100.00 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 Lanham, MD?

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

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

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

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

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

Data Science jobs near you
Infographic showing various Data Science job openings in Lanham, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,841 per year, or $59.1 per hour.

Data Science Associate (Part-Time)

American Institutes for Research

Arlington, VA • On-site, Remote

$67K - $68K/yr

Full-time, Part-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

AIR's Tek Office is seeking a part-time Data Science Associate to join its forward-thinking and innovative team of data scientists and software engineers. Our team works on innovative projects that advance our organization and partners with clients to deliver innovative data collection, communication, learning, user experience, and data-driven solutions across web, mobile, analytics, and data management platforms. Data scientists at AIR use a blend of technology skills and theory to contribute to cutting-edge research design, implementation, and capacity building.

Engagements are typically project-based, part-time, and may vary in duration and hours depending on project needs.

This remote position requires flexibility to work from AIR's Crystal City office. This part-time position is expected to run from September 2026 through May 2027.

About AIR:

Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

Responsibilities:

The key responsibilities for the position include, but are not limited to

  • Build cloud applications and data pipelines using platform-as-a-service and/or open-source tools. 
  • Develop visualizations, dashboards, and reports using open-source and/or business intelligence tools. 
  • Support efforts to collect, compile, validate, interpret, and analyze data using standard practices and techniques. 
  • Assist with computer modeling and simple to moderately complex forecasting using standard software packages. 
  • Contribute to quantitative and/or qualitative analysis using standard techniques and methods. Work independently and collaboratively on moderately complex assignments under indirect supervision. 
  • Create replicable, well-documented code in a shared environment. 
  • Coordinate project support needs and requests from senior management and clients. 
  • Develop systems to maintain and verify the accuracy of data for assigned projects. 
  • Utilize external resources to supplement, organize, and contribute to tasks and projects. 
  • Present and occasionally support or organize content for internal and external meetings. 
  • Stay current on emerging technologies and provide recommendations for research applications. 
  • Review and optimize code written by others. 
  • Provide innovative and appropriate solutions to complex problems.
  • The scope of responsibilities may be modified as business needs evolve.

Qualifications:

Education, Knowledge, and Experience

  • Master's degree in computer science-related fields (e.g., Data Science, Data Engineering, Computer Science) and enrolled in a PhD program.
  • Experience with cloud platforms including AWS, GCP, and Azure; hands-on exposure to Azure OpenAI API is preferred, but not required. 

Skills

  • Solution-oriented mindset with the ability to apply creative problem-solving techniques.
  • Strong communicator with the ability to engage effectively across all organizational levels and diverse backgrounds, including virtual environments, and to convey complex technical concepts clearly and accurately in plain language. 
  • Collaborative team player, able to work effectively in cross-functional teams and contribute to shared goals in a virtual environment. 
  • Flexible and adaptable, comfortable working in dynamic environments and adjusting to changing priorities. 
  • Proficient with database technologies such as MySQL and MS SQL Server. 
  • Familiarity with generative AI tools and applications for practical use cases. 
  • Knowledge of Python web frameworks (e.g., Django, Flask) is advantageous. 
  • Interest in exploring and developing innovative tools for data-driven applications. 

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.

American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of any characteristic protected by applicable federal, state or local law, including, but not limited to, actual or perceived race (including traits historically associated with race, such as hair texture, hair type, and protective hairstyles such as braid, locks, and twists), creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability, medical condition (e.g., cancer), sex, gender, gender identity or expression (including transgender status), sexual orientation, marital status, civil union status, pregnancy, childbirth or related medical conditions, genetic information, or military or veteran status. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment. 

ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.org or call 202.403.5000.

Fraudulent Job Scams Warning & Disclaimer:

AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an "@air.org" domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out to recruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) at ReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams at ftc.gov/scams.

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