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Data Science Remote Internship Jobs in Baltimore, MD

Remote About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring rigor to how AI models handle statistics ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Data Scientist

Fort George G Meade, MD · Remote

$128K - $214K/yr

Apply expert knowledge in data science to deliver solutions that address clients' business needs ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Data Scientist

Edgewood, MD · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0238506 Location: Edgewood,MD,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by ...

Senior Data Engineer

Baltimore, MD · On-site +1

$105K - $143K/yr

... science across NinjaOne's expanding product offering. You'll build the pipelines and data ... Location - We are flexible on remote working from home, if you are located in the USA and reside in ...

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Data Science Remote Internship information

See Baltimore, MD salary details

$11

$22

$41

How much do data science remote internship jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data science remote internship in Baltimore, MD is $22.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.38 per hour, depending on experience, location, and employer.

What is a data science remote internship?

A Data Science Remote Internship is a temporary, practical work experience opportunity in the field of data science that is completed remotely, usually from your own home or any location with internet access. Interns work on real-world projects involving data analysis, machine learning, and statistical modeling, often collaborating with teams through online communication tools. This type of internship is ideal for gaining hands-on experience, building a portfolio, and developing skills relevant to data science careers, all while offering flexibility and eliminating the need to relocate.

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

To thrive as a Data Science Remote Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or projects in data science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow) is typically expected. Strong problem-solving abilities, self-motivation, and effective communication are essential soft skills for collaborating remotely and conveying analytical insights. These competencies ensure you can independently contribute to projects, adapt to remote workflows, and deliver actionable data-driven solutions.

What types of projects can I expect to work on during a remote data science internship, and how is project collaboration typically managed?

During a remote data science internship, you can expect to work on projects such as data cleaning, exploratory data analysis, model development, and visualization tasks that support ongoing business needs. Collaboration is commonly managed through virtual tools like Slack, Zoom, and project management platforms (e.g., Jira or Trello), with regular check-ins and code reviews from your mentor or team. Interns often participate in team meetings, contribute to group presentations, and use version control systems like Git to share code and receive feedback. This structure ensures you gain practical experience while staying connected with your team, even in a remote setting.

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

AspectData Science Remote InternshipData Analyst Remote Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften pursuing or recent graduate in Data Analysis, Business, or related fields
Work EnvironmentRemote, collaborative with data science teams, using programming languages like Python or RRemote, focusing on data interpretation, visualization, and reporting tools like Excel, SQL, Tableau
Employer & Industry UsageTech companies, finance, healthcare, startupsBusiness, marketing, finance, consulting firms

While both roles involve working with data remotely, Data Science Remote Internships focus on building predictive models and programming skills, whereas Data Analyst Remote Internships emphasize data interpretation, visualization, and reporting. The choice depends on your career goals and skill set.

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

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

What are popular job titles related to Data Science Remote Internship jobs in Baltimore, MD?

For Data Science Remote Internship jobs in Baltimore, MD, the most frequently searched job titles are:

What cities near Baltimore, MD are hiring for Data Science Remote Internship jobs?

Cities near Baltimore, MD with the most Data Science Remote Internship job openings:

Infographic showing various Data Science Remote Internship job openings in Baltimore, MD as of September 2026, with employment types broken down into 9% Internship, 42% Full Time, 38% Part Time, 5% Temporary, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $46,511 per year, or $22.4 per hour.

AI Data Science Evaluator

Baltimore, MD • Remote

micro1 AI
Software Development • 11 - 50 employees

$245 - $280/hr

Part-time

Posted 18 days ago


Job description

Role Title: Data Scientist


Role Type: Contractor


Location: Remote


About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and quantitative reasoning.


Scope of Work

  1. Evaluate AI model outputs on data science, statistics, ML, and quantitative problems
  2. Create expert-level prompts, datasets, and reference solutions
  3. Identify flawed methodology, statistical errors, and weak quantitative reasoning
  4. Provide structured feedback that improves model capability


Preferred Qualifications

  1. At least one year of experience working at a top company (tech, finance, or research), with at least part of this experience within the past 7 years
  2. Undergraduate degree from a top-ranked university
  3. Based in an English-speaking country
  4. Clear written communication of technical and statistical concepts