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Remote Data Science Jobs in Alabama (NOW HIRING)

Data Scientist

Huntsville, AL · On-site +1

$112K - $257K/yr

Remote Work: No Job Number: R0246868 Location: Huntsville,AL,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

... 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 ...

Data Quality Engineer

Birmingham, AL · Remote

$107K - $128K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Bachelor's degree in Computer Science, Information Systems, or a related field; equivalent work ...

Collaborate with Data Scientists, ML Engineers, Software Engineers, and Product teams. * Follow ... Location Hyderabad / Remote / Hybrid - As per company requirements.

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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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 Sep 15, 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 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.

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 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 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.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.

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 August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $88,409 per year, or $42.5 per hour.

Data Science AI Engineer, Professional

Montgomery, AL • On-site, Remote

Gainwell Technologies LLC
Health Care and Social Assistance • 10K+ employees

$70K - $100K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 3 days ago

New


Gainwell Technologies rating

7.9

Company rating: 7.9 out of 10

Based on 84 frontline employees who took The Breakroom Quiz


Job description

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities.

Summary

As a Data Science AI Engineer, Professional at Gainwell, you will design, develop, and implement data science and AI-driven solutions that support business and client outcomes. This role focuses on building models, analyzing data, and deploying scalable solutions that enhance decision-making, operational efficiency, and technology innovation. 

Your role in our mission
  • Develop and implement data science and AI/ML models to support business and client applications 
  • Analyze structured and unstructured datasets to identify trends, patterns, and actionable insights 
  • Design, test, and optimize models and algorithms to improve performance, accuracy, and scalability 
  • Collaborate with engineering, product, and business stakeholders to translate requirements into technical solutions 
  • Support deployment, monitoring, and continuous improvement of AI models and data-driven solutions 
What we're looking for
  • 3–5+ years of experience in data science, AI/ML, software engineering, or related roles 
  • Strong knowledge of machine learning, statistical modeling, and data analysis techniques 
  • Proficiency in programming languages such as Python, R, or similar tools 
  • Experience working with data platforms, cloud environments, or large datasets 
  • Strong analytical, problem-solving, communication, and collaboration skills 
What you should expect in this role
  • Remote, hybrid, or onsite work depending on business needs 
  • Hands-on involvement in AI/ML model development and deployment 
  • Collaboration with engineering, analytics, and cross-functional teams 
  • Opportunity to contribute to innovative, data-driven technology solutions 

The pay range for this position is $70,500.00 - $100,700.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities.

We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings.

Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines “wages” and “wage rates” to include “all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.


What Gainwell Technologies employees say

Pay

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Hours and flexibility

Workplace

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About Gainwell Technologies

Sourced by ZipRecruiter

With Health and Cost outcomes that pierce Inequities and Impact Economies, the success of our Nation’s Federal Medicaid program is inextricably tied to the Prosperity of Communities, States and the Nation as a whole. We think that deserves Respect and a Commitment from Innovators who can help those who operate within and around health and human services evolve to meet their goals. At Gainwell, that’s our Sole focus. Built across more than Five Decades, Gainwell has intentionally seized opportunities to advance its digitally enabled services to meet Agencies, Health plans and MCOs where they are on their modernization journeys and propel them into the future of Healthcare. Equally important to our Expanding Technologies and Results. We bring ideas that bring policies to life.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Irving, TX, US