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Remote Data Science Jobs in Georgia (NOW HIRING)

A bachelors degree in Chemistry, Biology, or Environmental Science * Strong understanding of data collection and analysis * Strong troubleshooting and analytical skills * Ability to work well as part ...

This is a remote opportunity open to candidates available to work in EST or CST timezones. The Requirements: * Master\'s degree in Data Science, Computer Science, Business Analytics, or a related ...

New

Senior Data Engineer

Atlanta, GA · Remote

$101K - $138K/yr

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a ... Disability Remote Work Flexibility Momentive Software actively embraces diversity and equal ...

Sr Data Consultant

Columbus, GA · On-site +1

$120K - $160K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... Business Intelligence and Data Science analyses. Education & Experience Required * Bachelor ...

Sr Data Consultant

Columbus, GA · On-site +1

$120K - $160K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... Business Intelligence and Data Science analyses. Education & Experience Required * Bachelor ...

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 ...

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 ...

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 ...

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

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 Georgia? The most popular types of Data Science jobs in Georgia are:
What cities in Georgia are hiring for Remote Data Science jobs? Cities in Georgia with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Georgia as of June 2026, with employment types broken down into 2% As Needed, 72% Full Time, 21% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Data Scientist

Data Scientist

COLEMAN CONSULTING GROUP LLC

Athens, GA • On-site, Remote

Full-time

Posted 14 days ago


Job description

Benefits/Perks
  • Competitive Compensation
  • Flexible Scheduling
  • Career Growth Opportunities
Job Summary
We are seeking a detail-oriented Data Scientist to join our team. As a Data Scientist, you will analyze large amounts of raw data to discover patterns and insights that will help to improve our company. We will rely on you to collect and analyze data, build models, and present your findings in an easy-to-understand manner. The ideal candidate has an analytical mind and a passion for data.
Responsibilities
  • Analyze large amounts of raw data to discover trends and patterns
  • Discover valuable business insights and propose new approaches to challenges
  • Automate the data collection process
  • Identify valuable data sources
  • Present information in an easily digestible format
  • Collaborate with other teams within the organization
  • Plans, conducts, and supervises subtasks on a project-by-project basis, working to meet completion dates.
  • May provide direct assistance, review progress, and evaluate results of junior staff and make changes in methods or project design where necessary.
  • These individuals make independent technical decisions, seeking advice from management as needed.
  • Possesses knowledge, skills, and abilities to conduct their primary assigned tasks such as evaluating analytical instrument (e.g., GC, GC/MS, GC/HRMS, HPLC, ICP/AES, ICP/MS) outputs, reviews and verifies environmental laboratory data for accuracy, completeness, and compliance with quality standards and regulatory guidelines.
  • Key responsibilities include performing data validation, writing validation reports, using databases to manage data, checking quality control results, and communicating with project teams and laboratories.
Qualifications
  • A bachelors degree in Chemistry, Biology, or Environmental Science
  • Strong understanding of data collection and analysis
  • Strong troubleshooting and analytical skills
  • Ability to work well as part of a team
  • Strong written and verbal communication skills
  • Minimum of 6 years of experience

Flexible work from home options available.