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Remote Data Science Jobs in Atlanta, GA (NOW HIRING)

Data Engineer

Atlanta, GA · On-site +1

$112K - $134K/yr

Position Overview Kaizen Analytix is seeking an experienced remote Data Engineer to support a critical data conversion and migration initiative for a leading legal services client. This role will be ...

Data Analyst, Senior

Atlanta, GA · On-site +1

$64K - $87K/yr

Regular Full-Time Remote Employment: Flexible/Hybrid Office: Office of the Chief Research ... Bachelor's degree in Economics, Data Science, Geosciences, Geography, Urban or Regional Planning ...

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Data Platform Engineer

Atlanta, GA · Remote

$117K - $140K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Statistics) * Proven experience in data analysis and visualization, with a strong focus on Power BI * Strong knowledge of ...

New

Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Statistics) * Proven experience in data analysis and visualization, with a strong focus on Power BI * Strong knowledge of ...

New

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Work closely with data scientists and analysts to understand data needs and business goals ... Flexible work environment and remote work options. Join us and be part of a team building ...

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Remote Data Science information

See Atlanta, GA salary details

$23.3K

$103.5K

$197.5K

How much do remote data science jobs pay per year?

As of Jun 12, 2026, the average yearly pay for remote data science in Atlanta, GA is $103,493.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,459.00 and $143,547.00 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 Atlanta, GA? The most popular types of Data Science jobs in Atlanta, GA are:
What are popular job titles related to Remote Data Science jobs in Atlanta, GA? For Remote Data Science jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Atlanta, GA look for? The top searched job categories for Remote Data Science jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Data Science jobs? Cities near Atlanta, GA with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Atlanta, GA as of June 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $103,493 per year, or $49.8 per hour.
Research Fellow/Trainee - Women's Health - Data Science - Health Information Technology - School ...

Research Fellow/Trainee - Women's Health - Data Science - Health Information Technology - School ...

Emory University

Atlanta, GA • On-site, Remote

$47K - $64K/yr

Full-time

Posted 15 days ago


Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

159th of 871 rated healthcare providers


Job description

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.


The School of Nursing seeks a Research Fellow/Trainee to work on "Women's Health and Intersectionality Using Data Science and Health Information Technology. 


A full-time postdoctoral traineeship on an NIH funded T32 training grant entitled “Women’s Health and Intersectionality Using Data Science and Health Information Technology”. The purpose of this T32 program is to prepare nurse scientists who have knowledge and skills to employ data science (DS) and/or health information technologies (HIT) in order to advance health research using innovative methodological approaches. This training will build on the strengths of the Emory University Nell Hodgson Woodruff School of Nursing's currently funded research studies, faculty expertise, and supporting infrastructure. It will address health research questions with a methodological focus on DS and HIT applications. Trainees will develop knowledge and skills in interdisciplinary research methods, understand and apply DS and/or HIT methodologies, and develop and test interventions using these innovative approaches in health research. The program comprises: 1) specific courses related to DS and HIT methodologies; 2) electives to individualize training, develop an area of specialization, and facilitate trainees in interdisciplinary courses; 3) biweekly T32 seminars to foster trainees' integration of course content with other program experiences; 4) 15 hours a week of work on faculty research over several semesters; 5) at least one semester of individualized research practicum with center internships; and 6) participation in an interdisciplinary center on campus that relates to the trainee's research area. The program will engage 17 mentors and 6 interdisciplinary co-mentors. Over 10 research centers/institutes/departments have agreed to collaborate, making this a fully interdisciplinary training program focused on advancing methodological expertise in nursing science through innovative data science and health information technology approaches.

Trainees will be engaged in research activities, research training seminars, interdisciplinary research, preparation of grants, scientific manuscripts, and reports, and work closely with a mentor. The initial appointment is for one year, renewal is expected if progress is satisfactory and funds are available.

Requirements: Applicants to the T32 postdoctoral program must be a citizen or non-citizen national of the United States and must submit official transcripts from previous and/or current institutions and 3 reference letters. Applications to the post-doctoral program should be either enrolled in or graduated from a research-focused doctoral program at the time of application.

Postdoctoral applicants must submit their curriculum vitae and a brief description of their research goals including the next logical step in their research and research training, goals for research development including alignment with the goals of the T32, and interest in a faculty mentor; three letters of reference; and transcripts from their doctoral degree program.

NOTE: This role will be granted the opportunity to work from home regularly but must be able to commute to Emory University on a flexible weekly schedule based upon business needs.  Schedule is based on agreed upon guidelines of department. This role requires residency in the state of GA. Emory reserves the right to change remote work status with notice to employee.


Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).

Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.


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