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

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data processing, computational programming, and practical problem solving, with the ability to clearly ...

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data processing, computational programming, and practical problem solving, with the ability to clearly ...

Federal Data Scientist Intern 2027

Herndon, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Receive mentorship from diverse professionals in science engineering and consulting applying ... Data Integrations : Develop skills in writing efficient and reusable programs to cleanse integrate ...

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data processing, computational programming, and practical problem solving, with the ability to clearly ...

Data Science Associate

Chantilly, VA · On-site

$65K - $68K/yr

Master's Degree in Data Science, Analytics, Statistics, Computer Science, or a related quantitative field preferred * Bachelor's Degree in a STEM discipline with strong analytical coursework ...

Data Science SME Mid

Springfield, VA · On-site

$115 - $157.94/hr

Data Science SME Mid Full Time Client Site - Springfield, VA, Springfield, VA, US 8 days ago Requisition ID: 1763 Salary Range: $115,000.00 To $157,938.00 Annually Data Science SME Mid TULK supports ...

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Data Science Intern information

See Silver Spring, MD salary details

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How much do data science intern jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data science intern in Silver Spring, MD is $23.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $25.34 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

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 Intern jobs in Silver Spring, MD?

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

What cities near Silver Spring, MD are hiring for Data Science Intern jobs?

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

Infographic showing various Data Science Intern job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $48,390 per year, or $23.3 per hour.

Director of Data Science

Redhorse Corporation

Arlington, VA • On-site

Full-time

Re-posted 8 days ago


Job description

Director of Data Science
About the Organization
Now is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works.
Positions Description
Redhorse Corporation is seeking to hire a Director for our growing Data Science team. The ideal candidate must be able to lead, manage and develop a multi-disciplinary data science team and collaborates with customer stakeholders, business leaders, design teams and infrastructure and software engineers to develop solutions using various types of Artificial Intelligence, including Natural Language Processing and Machine Learning, to enable data-driven decisions, predictions (will happen) and prescriptions (should do). The Director advises corporate leadership on Data Science strategy, methodology, tools, techniques and mission alignment including collaboration with the Director of Solutions Design to create practical methods to understand customer preferences as well as work closely with cross-functional groups to comprehend these challenges, prototype new ideas and new technologies, and help create solutions to drive the next wave of innovation.
The Director of Data Science will:
  • Provide Data Science as a service to internal (corporate) and external customers.
  • Consult with potential customers and corporate business executives, capture leaders, and program managers to help identify, qualify, capture and execute data science projects.
  • Mentor, train and manage the work of corporate data scientists; informally mentor and advise data scientists dedicated to customer engagements, and manage the Data Science community of practice.
  • Work in partnership with software and infrastructure engineers to design and manage Data Science and DevOps pipelines and related corporate standards and to drive rapid prototyping and delivery of features using continuous integration and deployment.
  • Perform or assist in various project management tasks relating to the Data Science portfolio.
Minimum basic requirements for the Director of Data Science include:
  • Master’s Degree in Data Science or related field
  • 5+ years of experience in data procurement, processing and manipulation, transformation, and mathematical and statistical analysis
  • 5+ years of experience building executive level visualizations using industry standard tools like Tableau and ArcGIS
  • 5+ years of experience with using Relational, NoSQL, and graph databases such as MySQL, MongoDB, and Neo4j to store, update, and query large volumes of information
  • 2 years of experience leading complex data science projects from conception to execution
  • 2 years of experience building, mentoring and managing teams of data scientists
  • Experience with Natural Language Understanding to provide basic insights into unstructured and semi-structured datasets
  • Ability to create conceptual models, such as Type Systems, to define main concepts or entity types along with their respective relations within a corpus of knowledge
  • Experience with software configuration management, methods, and tools including GitHub or Jira
  • Familiarity with at least two of the following: Python, JavaScript, PHP, VBScript, Matlab, HTML/CSS or SQL
Preferred Requirements:
  • Ability to lead development efforts utilizing DevOps and Agile Methodologies
  • Basic understanding of how to integrate with Cloud-based services such as AWS, IBM (BlueMix/Cloud), and Azure
  • Experience with data ingestion from a variety of sources, leveraging standards-based interfaces such as SOAP/REST web services
  • Familiarity with metadata extraction technologies such as GROBID and Apache Tika
  • Familiarity with data structures, algorithms, and modular application design
  • Experience with solutions for full–text search, hit highlighting, and faceted search, including SOLR or ElasticSearch
  • Ability to learn technical concepts quickly and communicate with multiple functional groups
The work environment for this position requires an individual to be able to:
  • Work sitting or standing at a desk or conference table for extended periods of time with the ability to shift positions while working: sit, stand, pace, adjust positioning in any of those without issue
  • Walk in the office to collaborate with co-workers, attend meetings or retrieve documents from printer
  • Ability to carry up to 10 pounds
Executive Order Requirement:
In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new hires to be fully vaccinated for COVID-19 by December 8, 2021 or prior to the first date of employment, whichever is later. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
EOE/M/F/Vet/Disabled