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

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 ...

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 ...

In addition to being responsible for applying data science techniques for cybersecurity solutions. May extract, transform, load, analyze and interpret relevant IA (information assurance) data for ...

In addition to being responsible for applying data science techniques for cybersecurity solutions. May extract, transform, load, analyze and interpret relevant IA (information assurance) data for ...

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 ...

Data Scientist

Alexandria, VA · On-site

$94K - $141K/yr

Provide data science and advanced data analytics to support federal investigations. * Utilize data mining techniques to find patterns in large data sets * Develop prototype software to meet the needs ...

Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field * Preferred Qualifications: Experience supporting federal, DoD, or IC programs, Exposure to mission ...

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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 Jun 22, 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.
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:
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.

$200K - $275K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Technology Resource Experts, LLC is looking for an experienced Software Engineer to join their rapidly growing team!
Contractor shall develop, enhance, and prototype compliance and business processing analytics and tools. Develop new methods for automating compliance functions and improve existing methods. Contractor will investigate, integrate, and test compliance modernization Machine Learning/AI algorithms and research proof-of-concepts in the RD environment. Contractor will develop models and implement appropriate metrics and monitoring of developed tools, functions, and data flows.
Task Order Required Skills
  • Experience with Java, Scala, and Python
  • Experience with Lucene, JEXL, SQL, JSON
  • Random Forest and ability to do feature development for Random Forest
  • Experience with Machine Learning Model building and monitoring
  • Experience developing in a Linux operating environment
  • Experience with Ghostmachine (Map/Reduce)
  • Experience with GM Learn
  • Experience with Jupyter Notebooks
  • Experience with IntelliJ and/or Eclipse
  • Experience with Git/Gitlab and/or Stash/Bitbucket
  • Experience with Jira
  • Experience with Confluence
  • Experience with Scikit-learn
  • Agency Compliance standards, policies, and authorities
  • Experience with Agency corporate systems
  • Experience with documentation and reviewing documentation

Task Order Desired Skills
  • Data Science skills/background
  • Experience with AWS
  • Experience implementing ML systems
  • Experience with Spark
  • Exploratory Data Analysis (EDA)
  • Agentic AI
  • Large Language Models (LLM)
  • Machine Learning Feature Development
  • Other Machine Learning models and techniques

Qualifications
  • An active TS/SCI with polygraph is required.
  • BS + 20 years experience

Technology Resource Experts, LLC offers the very best compensation packages and the flexibility to let our employees decide what's most important to them. No vesting schedule, no annual requirements for perks - we believe you should have the freedom to choose the benefits that work best in your life.
Employee Freedom of Choice
Our focus is on people first. We offer comprehensive and flexible compensation packages that match the best the industry has to offer and can be customized to fit your needs.
Our Benefits:
  • 100% company-paid health, dental, and vision premiums
  • Automatic company contributed Health Savings Account (HSA) up to $3,900 for families
  • Up to 7 weeks of Paid Time Off (PTO)
  • Automatic 401k Investment
  • Paid 11 Federal Holidays
  • BlueCross BlueShield Health Insurance
  • Tuition/Training Reimbursement
  • Access to Ravens season tickets in club level
  • Company-paid golf events for your time and course fees

If you didn't find the perfect fit among our openings, feel free to reach out to talent@trexperts.co or submit your application here !
We're always looking for exceptional talent and would be delighted to notify you about new opportunities!
Curious to learn more about our company? Explore our website , connect with us on Facebook , or follow us on LinkedIn today!
Technology Resource Experts provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
The projected compensation range for this position is $200K - $275K. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location, education and certifications as well as Federal Government Contract Labor categories. In addition, Technology Resource Experts, LLC invests in its employees beyond just compensation. Trexperts' benefits offerings include, dependent upon position, Health Insurance, Dental and Vision Coverage, Health Savings Account (HSA), Paid Time Off, Holiday Pay, Short Term and Long Term Disability, Life Insurance, 401(k) Plan, Safe Harbor 401k Investment, Learning and Development opportunities, Referral Bonuses and Flex Time.