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Data Science Fall Internship Jobs in Baltimore, MD

Waste Management

Sales Intern

Baltimore, MD · On-site +1

$22 - $23/hr

I. Job Summary This is a fall internship; candidates must be able to work minimum 15 hours a week ... Whether you're diving into data, pitching ideas, or helping make things run smoother, what you do ...

standvast

Senior Data Engineer

Columbia, MD · On-site

$105K - $142K/yr

... internship experience as a data engineer * Production experience with Databricks, Snowflake, or ... Experience setting up ML environments for data science experiments * Applicants must be authorized ...

HealthCorps

Monitoring & Evaluation Intern

Baltimore, MD · Remote

This internship provides an excellent opportunity for undergraduate or graduate students looking to ... Current undergraduate or graduate student studying public health, data science, social sciences, or ...

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All JobsData Science Fall JobsData Science Fall Internship JobsData Science Fall Internship Jobs in Baltimore, MD

Data Science Fall Internship information

See Baltimore, MD salary details

$11

$22

$41

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

As of Aug 11, 2026, the average hourly pay for data science fall 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 types of projects can I expect to work on during a data science fall internship?

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

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

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What is a data science fall internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

What is the difference between Data Science Fall Internship vs Data Analyst Intern?

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What are popular job titles related to Data Science Fall Internship jobs in Baltimore, MD? For Data Science Fall Internship jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data Science Fall Internship jobs in Baltimore, MD look for? The top searched job categories for Data Science Fall Internship jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data Science Fall Internship jobs? Cities near Baltimore, MD with the most Data Science Fall Internship job openings:
Data Science Fall Internship jobs near you
Infographic showing various Data Science Fall Internship job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $46,511 per year, or $22.4 per hour.

2027 PhD Graduate - Radar, Machine Learning, Signal Processing, Data Science

The Johns Hopkins University Applied Physics Laboratory

Laurel, MD • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Description

Are you energized by the idea of shaping sensor technology that safeguards our nation at sea and on land? If so, we are looking for someone like you to join our team at APL.

We are seeking highly motivated PhD graduates in Electrical Engineering (EE), Electrical and Computer Engineering (ECE), Physics, or a similar STEM technical degree, who are eager to dive into advanced Radio Frequency (RF), radar, and signalprocessing research and grow into the next generation of technical leaders for the U.S. Navy and other Department of War (DoW) sponsors. You will work in areas including leading edge RF propagation, RF phenomenology, digital signal processing, new technology advanced sensor arrays/systems, wide-area-surveillance networks, currently fielded, and next generation systems.

Why Join Us

  • MissionDriven Impact: Contribute directly to the development and fielding of nextgeneration Navy Radar/EO/IR, electronicwarfare, and landbased cruisemissiledefense sensor networks that protect service members against the world's toughest threats.
  • CuttingEdge Innovation: Work with physicsbased modeling and simulation (M&S), advanced dataanalysis, and machinelearning techniques to create innovative sensorperformance tools.
  • Collaborative Culture: Join a highly motivated, interdisciplinary team of sensor engineers, RFpropagation and meteorology specialists, software developers, combatsystem engineers, and physicists-all focused on solving complex, missioncritical problems.

Core Responsibilities

  • Analyze live tacticalsensor data with a crossdisciplinary team to deliver missiondriven solutions.
  • Identify and solve problems that impact mission requirements.
  • Build and apply M&S tools, dataanalysis platforms, and machinelearning algorithms to large data sets; develop novel algorithms that solve real-world problems.
  • Develop and refine physicsbased simulations that provide new insight into radar, EO/IR, and electronicwarfare system performance in realistic operational environments.
  • Develop novel instrumentation and algorithms for understanding RF propagation effects by directly measuring, recording, and analyzing RF signal measurements.
  • Identify emergent phenomenology, troubleshoot problems affecting sensor performance, and work with a broad network of experts-including prime contractors, government labs, RFpropagation and meteorology specialists, software developers, combatsystem engineers, and physicists-to deliver integrated solutions.
  • Develop and apply skills in machine learning, signal processing, and data science techniques to unprecedented real-world challenges.
  • Develop and apply skills that advance the state of the art in our core technology areas: signal processing, electromagnetics, software development, and boundary-layer meteorology.

Qualifications

You meet our minimum qualifications for the job if you...

  • Have a PhD degree in EE, ECE, Physics, or a similar technical field, with a GPA above 3.5.
  • Some familiarity with Python, Matlab, or equivalent, or have had some exposure to modern development process (git, GitLab, Jira, or equivalent).
  • Have a strong foundational understanding of signal processing, and/or electromagnetic theory (e.g., antenna systems, microwave transmission, RF propagation).
  • Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Top Secret/SCI level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...

  • Also have cross-discipline technical degrees, including minors, in EE, ECE, CS, Physics in addition to a PhD.
  • Have radar or RF research experience (hardware, antennas, remote sensing, tracking, etc.).
  • Have an understanding of, and interest in, application of machine learning and data science, to sensor related problems.
  • Have internship experience related to DoW research, DoW contractors, or the advanced-technology industry.

About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities athttps://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contactAccessibility@jhuapl.edu.

The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.


Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually

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