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Remote Data Scientist Jobs in Decatur, GA (NOW HIRING)

Atlanta Regional

Data Analyst, Senior

Atlanta, GA · On-site +1

$64.67K - $87.30K/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 ...

Emory Healthcare

CDCE Data Analyst

Atlanta, GA · Remote

Remote employee - Works from locations outside traditional office, often from home or another ... Education - Bachelor's degree in Computer Sciences, HIM, Data analytics, * Nursing Experience - 4 ...

Emory Healthcare

CDCE Data Analyst

Atlanta, GA · Remote

Remote employee - Works from locations outside traditional office, often from home or another ... Education - Bachelor's degree in Computer Sciences, HIM, Data analytics, * Nursing Experience - 4 ...

Emory Healthcare

CDCE Data Analyst

Atlanta, GA · Remote

$52.37 - $65.06/hr

Remote employee - Works from locations outside traditional office, often from home or another ... Education - Bachelor's degree in Computer Sciences, HIM, Data analytics, * Nursing Experience - 4 ...

New

Adidev Technologies Inc

ML/AI Engineers

Atlanta, GA · Remote

... Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

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Remote Data Scientist information

See Decatur, GA salary details

$36.6K

$119.8K

$191.8K

How much do remote data scientist jobs pay per year?

As of May 31, 2026, the average yearly pay for remote data scientist in Decatur, GA is $119,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $132,800.00 per year, depending on experience, location, and employer.

What Is the Job of a Remote Data Scientist?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

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, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What are remote data scientists?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Decatur, GA? The most popular types of Data Scientist jobs in Decatur, GA are:
What are popular job titles related to Remote Data Scientist jobs in Decatur, GA? For Remote Data Scientist jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist jobs in Decatur, GA look for? The top searched job categories for Remote Data Scientist jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Remote Data Scientist jobs? Cities near Decatur, GA with the most Remote Data Scientist job openings:
Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Decatur, GA as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 75% Full Time, 13% Part Time, 1% Temporary, and 8% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $119,834 per year, or $57.6 per hour.

Lead Data Platform Engineer (REMOTE)

TRAC Recruiting

Atlanta, GA • Remote

$155K - $165K/yr

Full-time

Posted 2 days ago

Job description

We are seeking a Lead Data Platform Engineer (REMOTE) for a full time and direct hire role for one of our amazing health tech partners in the United States. This role is remote, but you MUST be living in the United States and be willing to work east coast hours. You MUST be a US Citizen for Green Card Holder. This role does NOT offer sponsorship, it's NOT a consulting role, and we do NOT work with 3rd parties!


Overview:

This hands-on Engineer will help architect, build, and maintain modern cloud-based data solutions in a scalable AWS environment. You will contribute to the development of enterprise-grade data platforms, analytics infrastructure, and data processing frameworks that support business intelligence, operational reporting, and product innovation. You will work closely with cross-functional teams to design reliable data pipelines, optimize data workflows, and improve overall platform performance, security, and scalability. This position is ideal for someone who enjoys solving complex data challenges and influencing technical direction across cloud-native systems.


Responsibilities:

  • Design, develop, and support scalable data pipelines and cloud-native data architectures.
  • Build and maintain production-ready applications and data processing frameworks using Python, PySpark, Scala, and related technologies.
  • Partner with engineering and business stakeholders to deliver analytics-ready datasets and reporting capabilities.
  • Contribute to technical architecture decisions, platform improvements, and development best practices.
  • Develop and optimize ETL/ELT workflows and streaming data solutions.
  • Create and manage data models, reporting structures, and analytics dashboards using AWS-native tools.
  • Work with relational and NoSQL databases to support high-volume data processing and storage requirements.
  • Implement cloud infrastructure solutions leveraging AWS services and container orchestration platforms such as Kubernetes or ECS.
  • Collaborate with operations teams on backup, disaster recovery, data retention, and security strategies.
  • Participate in code reviews, technical mentorship, and collaborative problem-solving across the engineering organization.
  • Evaluate and recommend modern technologies and frameworks that improve scalability, efficiency, and reliability.

Requirements:

  • 3+ years of professional experience in software engineering, data engineering, or cloud platform development.
  • Strong experience building and maintaining scalable data platforms and distributed processing systems.
  • Proficiency in Python, PySpark, Scala, and/or Typescript.
  • Hands-on experience developing Spark-based ETL and reporting frameworks using Spark SQL and Spark Streaming.
  • Experience with AWS cloud services, including tools such as S3, Redshift, Glue, Athena, EMR, Lambda, Step Functions, EventBridge, and QuickSight.
  • Knowledge of modern data storage and serialization formats such as Parquet and Iceberg.
  • Experience with relational databases and NoSQL technologies.
  • Strong understanding of cloud security concepts, including IAM, KMS, encryption, Secrets Manager, and data access controls.
  • Ability to independently troubleshoot technical challenges and deliver scalable solutions with minimal oversight.
  • Experience designing cloud-native applications and services in production environments.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience.


Preferred Experience:

  • Experience building enterprise data lakes, data platforms, or Data-as-a-Service solutions.
  • Familiarity with healthcare systems, healthcare analytics, or healthcare IT environments.
  • Exposure to modern analytics and reporting platforms in large-scale cloud ecosystems.


All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. You must be legally authorized to work in the United States without current or future sponsorship.