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Remote Data Science R Jobs in Lithonia, GA (NOW HIRING)

INFT Solutions Inc

Remote -AWS Data Engineer

Atlanta, GA · Remote

$110K - $132K/yr

AWS Data Engineer Location: Remote Employment Type: Contract / Full-Time Job Summary We are seeking ... Science, Information Technology, Engineering, or a related field. Mandatory Skills · AWS Glue · ...

PrizePicks

Lead Quantitative UX Researcher

Atlanta, GA · Remote

$150K - $185K/yr

... data science, or an equivalent analytical consumer insights field. * Education: Bachelor's, Master ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Prolego

GenAI Systems Developer

Atlanta, GA · Remote

$185K - $215K/yr

Data Science Mindset: While this is not a data science position, you must demonstrate the ability ... Remote-First Team: Operate from anywhere in the continental U.S., with limited in-person client ...

Bravo17

Lead Systems Engineer (data)

Atlanta, GA · On-site +1

A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field ... Remote; however we are looking to grow our presence in Atlanta, Chicago, Denver, and Washington DC ...

Oscar Health

Director, Medical Economics

Atlanta, GA · Remote

$178K - $234K/yr

... and data science when appropriate, while maintaining deep understanding and ownership over your ... This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote ...

Oscar Health

Director, Medical Economics

Atlanta, GA · Remote

$178K - $234K/yr

... and data science when appropriate, while maintaining deep understanding and ownership over your ... This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote ...

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All JobsData Science R JobsRemote Data Science R JobsRemote Data Science R Jobs in Lithonia, GA

Remote Data Science R information

See Lithonia, GA salary details

$34.2K

$112.1K

$179.4K

How much do remote data science r jobs pay per year?

As of Jul 21, 2026, the average yearly pay for remote data science r in Lithonia, GA is $112,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,900.00 and $124,200.00 per year, depending on experience, location, and employer.

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

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are Remote Data Science R jobs?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

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, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote Data Science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.
What job categories do people searching Remote Data Science R jobs in Lithonia, GA look for? The top searched job categories for Remote Data Science R jobs in Lithonia, GA are:
What cities near Lithonia, GA are hiring for Remote Data Science R jobs? Cities near Lithonia, GA with the most Remote Data Science R job openings:
Remote Data Science R jobs near you

Remote -AWS Data Engineer

INFT Solutions Inc

Atlanta, GA • Remote

$110K - $132K/yr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title: AWS Data Engineer
Location: Remote
Employment Type: Contract / Full-Time
Job Summary
We are seeking a highly skilled AWS Data Engineer with strong experience in building scalable cloud-native data platforms and ETL pipelines on AWS. The ideal candidate should have hands-on expertise with AWS Glue, Spark ETL, Step Functions, Amazon EKS, Kubernetes, Lambda, S3 Data Lake architectures, SQS, KEDA, Glue Data Catalog, Glue Data Quality, and CloudWatch.
Key Responsibilities

·Design, develop, and maintain scalable ETL pipelines using AWS Glue and Apache Spark (PySpark).

·Build and orchestrate data workflows using AWS Step Functions.

·Design and implement S3 Data Lake architectures following AWS best practices.

·Develop and deploy containerized applications on Amazon EKS using Kubernetes.

·Build event-driven data processing solutions using Amazon SQS, AWS Lambda, and KEDA for auto-scaling.

·Manage metadata using AWS Glue Data Catalog.

·Implement data validation and governance using AWS Glue Data Quality.

·Monitor applications and data pipelines using Amazon CloudWatch.

·Optimize ETL jobs, Spark workloads, and Kubernetes deployments for performance and scalability.

·Collaborate with architects, developers, DevOps, and business stakeholders to deliver robust cloud data solutions.

·Participate in Agile ceremonies including sprint planning, code reviews, and production deployments.

Required Skills

·5+ years of experience in Data Engineering or Cloud Engineering.

·Strong hands-on experience with AWS Glue.

·Experience building Spark ETL pipelines using PySpark.

·Experience with AWS Step Functions.

·Strong knowledge of Amazon S3 Data Lake architecture and storage patterns.

·Hands-on experience with Amazon EKS and Kubernetes.

·Experience implementing event-driven architectures using Amazon SQS, AWS Lambda, and KEDA.

·Experience with AWS Glue Data Catalog and Glue Data Quality.

·Strong experience monitoring AWS workloads using Amazon CloudWatch.

·Good understanding of distributed data processing and cloud-native application design.

·Experience working in Agile/Scrum environments.
Preferred Skills

·Python / PySpark

·SQL

·Terraform or CloudFormation

·Docker

·Git

·CI/CD (Jenkins, GitHub Actions, CodePipeline)

·Kafka

·Apache Airflow

·Delta Lake / Iceberg / Lake Formation

·IAM, VPC, CloudTrail
Education

·Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Mandatory Skills

·AWS Glue

·Spark ETL / PySpark

·AWS Step Functions

·Amazon S3 Data Lake

·Amazon EKS

·Kubernetes

·Amazon SQS

·KEDA

·AWS Lambda

·Glue Data Catalog

·Glue Data Quality

·Amazon CloudWatch
Nice to Have

·Terraform

·Docker

·Python

·SQL

·CI/CD

·Kafka

·AWS Certifications (Solutions Architect, Developer, Data Engineer, or DevOps Engineer)