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Remote Data Science Intern Jobs in Alabama (NOW HIRING)

MS or PhD in Statistics, Applied Mathematics, Computer Science, or other quantitative fields * 2+ years of experience with geospatial data (ex. GPS traces, spatial indexing systems, or routing ...

... others for real-time remote monitoring. We take pride in developing deep user understanding ... and data science workflows. This role helps ensure geospatial data is identified, acquired ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Engineering, or related technical field;

You will work across research, clinical development, regulatory, data science and commercial teams ... remote clinical trials, or decentralized trial approaches. - Knowledge of clinical validation ...

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

... Data Science, Technology, Actuarial, Legal, and Compliance - the Product Manager III envisions ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Senior AI/ML Engineer

Montgomery, AL · On-site +1

$103K - $142K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...

Minimum of 4 years of experience in data science, analytics engineering, ML, operations, or AI Hybrid: 3 days of onsite/ 2 days remote Position Description This position supports the Golden Dome ...

Minimum of 4 years of experience in data science, analytics engineering, ML, operations, or AI Hybrid: 3 days of onsite/ 2 days remote Position Description This position supports the Golden Dome ...

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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 do Remote Data Science Interns typically work on, and how do they collaborate with their teams?

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 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 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 are the most commonly searched types of Remote Data Science jobs in Alabama? The most popular types of Remote Data Science jobs in Alabama are:
What are popular job titles related to Remote Data Science Intern jobs in Alabama? For Remote Data Science Intern jobs in Alabama, the most frequently searched job titles are:
What cities in Alabama are hiring for Remote Data Science Intern jobs? Cities in Alabama with the most Remote Data Science Intern job openings:
Data Scientist I - 529470

Data Scientist I - 529470

University of Alabama

Tuscaloosa, AL • On-site, Remote

$62K - $81K/yr

Other

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


University Of Alabama rating

7.0

Company rating: 7.0 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

352nd of 538 rated colleges and universities


Job description

Job no: 529470
Position type: Regular Full-time (Benefits eligible)
Location: Tuscaloosa
Division/Equivalent: Research
School/Unit: Economic Development
Department/Office: 750502 - Global Water Security Center
Categories: Other, Research/Scientific

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Pay Grade/Pay Range:  Minimum: $62,300 - Midpoint: $81,000 (Salaried E10)


Department/Organization: 750502 - Global Water Security Center


Normal Work Schedule: Monday - Friday 8:00am to 5:00pm


Note to Applicants: Position is eligible for remote work subject to University policy. 


Job Summary: The Data Scientist I assists in data management and integration efforts across the university, state, and federal agencies. Develops processes to extract, transform, and load data into common data repositories. Coordinates creating new databases, performing database backups and restores, user maintenance, and ensuring database performance.


Additional Department Summary: Global Water Security Center (GWSC) is a research -to-operations center, this position will be involved in a range of activities from exploratory analysis to development and implementation of data workflow to data visualization and communication. GWSC is also an applied research and operational center commissioned to respond to our nation's need for water and environmental security insights. GWSC will inform national security partners and others with global interests in water and environmental security. Our partners will include the Department of Defense (DoD), other US Government agencies, private companies, and data producers from federal agencies and academia.
Works closely with researchers across a range of disciplines to analyze water, weather, climate, and environmental data to solve water security issues.
Continuation in this position is contingent upon availability of external funding derived from research programs or specific projects.


Required Minimum Qualifications: Bachelor's degree or higher and some data science or analytics experience.


Additional Required Department Minimum Qualifications: Due to requirements of the funding source, must be a U.S. Citizen or U.S. Permanent Resident.


Skills and Knowledge: Self-starter, analytically creative, willing to brainstorm, and inquisitive. Experience working with large datasets and conducting statistical analysis. Experience with and understanding of environmental data. Experience managing and analyzing large, multi-dimensional datasets. Experience with statistical analyses. For example: experience with non-normally distributed data and statistical analyses including regressions, t-tests, nonparametric tests, power analyses, multivariate and/or ordination techniques. Demonstrable knowledge in a programming language or languages often applied to environmental datasets; examples could include R, Python, mySQL, MATLAB and JavaScript, or other GIScience.


Preferred Qualifications: Bachelor's degree or higher and two (2) years of data science or analytics experience or education and work experience to equal six years. Experience with Bayesian statistics and censored datasets preferred.


Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from social media and other internet sources. A prior conviction reported as a result of the background investigation DOES NOT automatically disqualify a candidate from consideration for this position. A candidate with a prior conviction or negative behavioral red flags will receive an individualized review of the prior conviction or negative behavioral red flags before a hiring decision is made.


Equal Employment Opportunity: The University of Alabama is an Equal Employment/Equal Educational Opportunity Institution. All qualified applicants will receive consideration for employment or volunteer status without regard to any legally protected basis and will not be discriminated against because of their protected status. Applicants and employees of this institution are protected under Federal law from discrimination on several bases. More information is available in the EEOC's Know Your Rights: Workplace discrimination is illegal poster.

The University of Alabama affirms its longstanding commitment to institutional neutrality, free speech, and academic freedom.

Advertised: May 20 2026 Central Daylight Time
Application close: Jun 14 2026 Central Daylight Time

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