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Remote Data Science 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 ...

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 ...

Senior Healthcare Data Analyst - Remote

Centre, AL · Remote

$81K - $102K/yr

This position is fully remote. Overview The Healthcare Data Analyst Senior provides data analysis support to the customer by assisting with the development of reports and/or dashboards to monitor ...

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

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

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field. * Active Secret clearance preferred; ability to obtain one is required . #LI-KM1 #LI-Remote

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field. * Active Secret clearance preferred; ability to obtain one is required . #LI-KM1 #LI-Remote ...

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field. * Active Secret clearance preferred; ability to obtain one is required . #LI-KM1 #LI-Remote

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field. * Active Secret clearance preferred; ability to obtain one is required . #LI-KM1 #LI-Remote ...

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Showing results 1-20

Remote Data Science information

See Alabama salary details

$19.9K

$88.4K

$168.7K

How much do remote data science jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote data science in Alabama is $88,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,667.00 and $122,626.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
What are the most commonly searched types of Data Science jobs in Alabama? The most popular types of Data Science jobs in Alabama are:
What are popular job titles related to Remote Data Science jobs in Alabama? For Remote Data Science jobs in Alabama, the most frequently searched job titles are:
What cities in Alabama are hiring for Remote Data Science jobs? Cities in Alabama with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Alabama as of June 2026, with employment types broken down into 2% As Needed, 73% Full Time, 22% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $88,409 per year, or $42.5 per hour.
Data Scientist I - 529470

Data Scientist I - 529470

University of Alabama

Tuscaloosa, AL • On-site, Remote

$62K - $81K/yr

Other

Posted 21 hours ago


University Of Alabama rating

7.0

Company rating: 7.0 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

351st 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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