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

Random Bit

AWS Data Architect

Atlanta, GA · Remote

$65.25 - $84/hr

Bachelor's degree in information management, data science, statistics, public health, health ... AWS Solution Architect - Associate This position can be remote and work hours must be based on ...

Random Bit

AWS Data Architect

Atlanta, GA · On-site +1

$130K - $165K/yr

Bachelor's degree in information management, data science, statistics, public health, health ... AWS Solution Architect - Associate This position can be remote and work hours must be based on ...

PadSplit

Data Engineer (Fully Remote)

Atlanta, GA · Remote

$150K - $165K/yr

If warranted, the next step would be a video interview with our Principal Data Scientist for forty ... Fully remote position - we swear! * Competitive compensation package including an equity incentive ...

PadSplit

Data Engineer (Fully Remote)

Atlanta, GA · Remote

$150K - $165K/yr

If warranted, the next step would be a video interview with our Principal Data Scientist for forty ... Fully remote position - we swear! * Competitive compensation package including an equity incentive ...

KPI Solutions

Supply Chain Data Analyst

Atlanta, GA · On-site +1

Advanced Solution Development Data Scientist/Senior Data Engineer (Data+AI / Databricks / SQL) - Closed-Loop Design & Pre-Sales Automation KPI Solutions is a leading supply chain and warehouse ...

New

IQVIA

Senior Data Team Lead (Remote)

Atlanta, GA · Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Atlanta Regional

Data Analyst, Principal

Atlanta, GA · On-site +1

$69K - $93K/yr

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

PadSplit

Data Engineer (Fully Remote)

Atlanta, GA · On-site +1

$150K - $165K/yr

If warranted, the next step would be a video interview with our Principal Data Scientist for forty ... Fully remote position - we swear! * Competitive compensation package including an equity incentive ...

YO AI Labs

Biology Research Scientist - Remote

Atlanta, GA · Remote

$50 - $70/hr

Remote Hours: 10-20 hours/week Duration: 1-2 months minimum, with likely extension Start: Immediate ... Scientific Data Interpretation * Evidence-Based Reasoning * Technical Documentation Qualifications

YO AI Labs

Data Privacy Analyst - Remote

Atlanta, GA · Remote

$31 - $60/hr

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

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 ...

YO AI Labs

AI Consulting Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

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Remote Data Science information

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.
More about Remote Data Science jobs

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Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Rex, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 3% Contract, and 2% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AWS Data Architect

Random Bit

Atlanta, GA • Remote

$65.25 - $84/hr

Full-time

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

Job description

AWS Data Architect/Engineer 
Company Overview  
Random Bit is a system modernization partner that specializes in enterprise architecture, solution architecture, data architecture, cloud transformation, data governance, compliance framework solutions, and organizational change management for both public and private sector clients.
Job Summary
Random Bit is seeking an AWS Data Architect with experience in Medicaid, Medicare, or Health and Human Services, particularly within claims and financial management data domains. This role provides technical leadership and supports implementation teams by designing high-quality, cloud-native data solutions on AWS.
The AWS Data Architect is responsible for defining the data strategy and technical solutions for managing data across transactional, relational, and operational data stores within AWS. This role collaborates with Enterprise Architects and Business Analysts who support enterprise strategy and analysis across Medicaid and healthcare data domains.
This position requires proficiency with AWS Cloud technologies and includes hands-on responsibilities such as establishing canonical models, defining interface specifications, and mapping data structures.
The AWS Data Architect will be relied upon to: 

  • Design information architecture to support an operational data store for data exchange across the Medicaid enterprise
  • Design and engineer 100% AWS cloud-native application components
  • Develop solution prototypes to demonstrate suitability and interoperability of chosen components, and to establish patterns for adoption by implementation team
  • Review data architectures to determine effectiveness, efficiency, and alignment with enterprise objectives 
  • Develop comprehensive implementation and remediation strategies for data architecture non-compliance 
  • Develop an architectural strategy for metadata management, including tooling and metadata governance 
  • Manage metadata models that support data quality and mastering processes
  • Develop and maintain Conceptual, Logical, and Physical data models at the enterprise level and for specific data domains within Medicaid (Provider, Member, Claim, Reference) 
  • Review data models with business owners and obtain approval from the data governance committee 
  • Define, and maintain, business rules for data elements in conjunction with business owners and the data governance committee 
  • Research emerging technologies, data modelling methods, and information management systems 
  • Perform data mapping between the canonical models and data formats (both input and output) such as X12 EDI, FHIR, and other structured JSON, XML, or proprietary formats 
  • Support database administrators, network designers and IT personnel on designing and managing the organization's data infrastructure and overall data strategy
  • Participate in Data Governance Committee meetings, representing the architecture team
  • Collaborate with internal and external personnel, including solution architects, software developers, database administrators, design analysts and information modelling experts to determine project capabilities, requirements, and timelines
Required Experience and Skills: 
  • Bachelor’s degree in information management, data science, statistics, public health, health informatics, or a related field or commensurate work experience
  • Proficiency with object-oriented design principles and software design patterns
  • Experience with the following AWS services:
    • Glue
    • Lambda
    • S3
    • CloudFormation
    • CloudWatch and CloudTrail
    • CodeCommit
    • EC2. SNS, SQS, KMS, VPC, and IAM
  • Experience working with data models and relational, transactional, and NoSQL databases
  • At least five years of experience with healthcare data, particularly in Medicare, Medicaid, Health and Human Services, medical claims, and financial management
  • Familiarity with federal, state, and organizational policies that safeguard Protected Health Information (PHI) and Personally Identifiable Information (PII)
  • At least five years of experience with UML 2.0 and Archimate notations
  • Creative problem-solver with strong communication skills and a collaborative mindset
  • Experience with data visualization tools
  • Experience designing data warehouses and domain-specific data models
  • Experience modeling transactional data stores using relational and document data patterns
  • Experience modeling data for REST APIs
  • Experience with data transformation and Domain-Driven Design
Desired Certifications:
  • AWS Solution Architect - Associate

This position can be remote and work hours must be based on Eastern Standard Time business hours. This is a W-2 position and we offer a competitive salary and benefits package.

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