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Remote Data Science Intern Jobs in Maryland (NOW HIRING)

SAIC

Data Architect

Aberdeen Proving Ground, MD · Remote

$120K - $160K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance Required: Secret Clearance Level Must Be Able to Obtain: TS/SCI Potential for Remote Work: ORA_ON ...

CareFirst

Lead Data Analyst (Remote)

Baltimore, MD · Remote

Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is ...

Posted today

T Rowe Price

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (or ... Work Flexibility This role is eligible for full time remote work.

Social Security Administration

Data Scientist

Woodlawn, MD · On-site +1

$102K - $133K/yr

Data Science Series 1560 (opm.gov) Qualification requirements must be met by the closing date of this announcement. Applicants for promotion must have 52 weeks at GS- 11 . Time in grade requirement ...

Social Security Administration

Data Scientist

Woodlawn, MD · On-site +1

$143K - $187K/yr

Forget everything you think you know about data science-this isn't just about crunching numbers! Today's data scientists leverage cutting-edge tools, machine learning, and statistical modeling to ...

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Remote Data Science Intern information

What is a remote data science intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects does a remote data science intern typically work on, and how do they collaborate with their team?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

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

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

What are the most commonly searched types of Remote Data Science jobs in Maryland?

The most popular types of Remote Data Science jobs in Maryland are:

What are popular job titles related to Remote Data Science Intern jobs in Maryland?

For Remote Data Science Intern jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Intern jobs in Maryland look for?

The top searched job categories for Remote Data Science Intern jobs in Maryland are:

What cities in Maryland are hiring for Remote Data Science Intern jobs?

Cities in Maryland with the most Remote Data Science Intern job openings:

Remote Data Science Intern jobs near you
Infographic showing various Remote Data Science Intern job openings in Maryland as of August 2026, with employment types broken down into 44% Internship, and 56% Full Time. Highlights an 100% Remote job distribution.

Data Architect

SAIC

Aberdeen Proving Ground, MD • Remote

$120K - $160K/yr

Full-time

Posted 7 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 224 rated it services

Job description

Job ID: 2615485

Location: Aberdeen Proving Ground, MD, US

Date Posted: 2026-08-11

Category: Information Technology

Subcategory: Data Scientist

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: Secret

Clearance Level Must Be Able to Obtain: TS/SCI

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking an experienced Data Architect to support a mission-critical modernization program delivering a modular, adaptable software suite of essential capabilities across multiple warfighting functions. In this role, you will serve as the technical authority responsible for designing, governing, and optimizing the data architecture that underpins a modern, open-architecture intelligence platform spanning enterprise cloud and tactical edge environments.
This position operates across cloud and tactical edge environments, supporting data architecture design, implementation, and validation across the full software development lifecycle — from initial concept through fielding — in both garrison and deployed settings, including Denied, Degraded, Intermittent, and Low Bandwidth (DDIL) environments.

The work is to be performed at the customer site at Aberdeen Proving Ground (APG), MD.

This role is contingent upon award news in Fall 2026.


Key Responsibilities:
 

  • Design and govern enterprise-scale data architectures that support modular, scalable, and resilient data management across cloud and tactical edge environments within an open-architecture framework
  • Develop and maintain common data layer standards, data models, ontologies, and data exchange specifications that enable seamless bi-directional data sharing across multiple security domains and third-party systems
  • Serve as the primary technical authority on data architecture, advising Government stakeholders, vendors, and development teams to ensure data requirements are accurately captured, communicated, traceable, and verifiable throughout the program lifecycle
  • Evaluate and validate platform data capabilities including data onboarding and normalization, object databases, credential authority, data logging and alerting, retrieval and display, and correlation and combination services
  • Support design and validation of tactical edge data configurations, ensuring data architecture approaches account for operations in DDIL environments 
  • Participate in product demonstrations, design reviews, and agile development cycles, providing rapid technical assessment of data architecture compliance against documented requirements and operational needs
  • Collaborate with vendors, partners, integration SMEs, and Government stakeholders to identify and resolve data architecture risks, dependencies, and technical gaps throughout the program lifecycle

Qualifications

Required Clearance:

  • Active Secret clearance required
  • TS/SCI Preferred

Required Education:

  • Bachelor's Degree in Computer Science, Data Science, Information Systems, Systems Engineering, or a related technical discipline
  • Or Master's Degree preferred in Data Science, Computer Science, Information Architecture, or a related technical field

Required Experience:

  • Eight (8+) years of progressive experience in data architecture, data engineering, or a closely related field, with a minimum of three (3) years supporting defense, military, or interagency programs at the operational or acquisition level
  • Demonstrated experience designing and implementing enterprise-scale data architectures across multi-vendor, multi-domain environments, with proficiency in data modeling, ontology development, and data exchange standards including structured and unstructured data formats
  • Experience working within agile development frameworks such as SAFe, Scrum, or Kanban, with working knowledge of DevSecOps pipelines, CI/CD toolchains, and automated data testing and validation methodologies
  • Familiarity with Zero Trust architecture, data security frameworks, data governance principles, and the unique data management requirements of classified and multi-domain network environments
  • Experience designing data solutions for cloud-based and tactical edge platforms, including the ability to architect and validate data pipelines and synchronization strategies that perform under DDIL conditions and constrained hardware environments
  • Background in Model-Based Systems Engineering (MBSE) principles, open-architecture frameworks, and familiarity with military data standards, symbology, and interoperability protocols such as MIL-STD 2525
  • Demonstrated ability to lead data architecture working groups, brief senior military, civilian, and interagency audiences, and drive technical consensus across multi-vendor and multi-functional teams in fast-paced, dynamic environments

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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