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

THE TILTED CIRCLE LLC

Data engineer

Calhoun, GA · On-site +1

$101K - $121K/yr

First 6 months fully onsite, then minimum 3 days onsite/remains remote. Woodbury, NY candidates ... Bachelor's degree in Computer Science, Information Systems, or equivalent experience * 6+ years of ...

Sentara

Senior Healthcare Data Analyst - Remote

Centre, AL · Remote

$81K - $102K/yr

This position is fully remote. Overview The Healthcare Data Analyst Senior provides data analysis support to the customer by assisting with the development of reports and/or dashboards to monitor ...

All JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Rome, GA

Remote Data Scientist information

See Rome, GA salary details

$37.5K

$122.8K

$196.6K

How much do remote data scientist jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote data scientist in Rome, GA is $122,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,100.00 per year, depending on experience, location, and employer.

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 efficient analysis.

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.

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.

Is AI replacing 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 replace the need for human expertise in designing models, interpreting results, and making strategic decisions. Data scientists are increasingly required to work alongside AI tools, leveraging skills in programming, statistics, and domain knowledge to develop and refine AI systems. The demand for data scientists remains strong as organizations seek to extract insights and create value from complex data sets.

Can I get a remote job 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, statistical analysis, and tools like Python or R, along with good communication abilities. Job seekers should review specific job descriptions to confirm remote work options and requirements.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals 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.

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 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 Rome, GA? The most popular types of Data Scientist jobs in Rome, GA are:
What are popular job titles related to Remote Data Scientist jobs in Rome, GA? For Remote Data Scientist jobs in Rome, GA, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist jobs in Rome, GA look for? The top searched job categories for Remote Data Scientist jobs in Rome, GA are:
What cities near Rome, GA are hiring for Remote Data Scientist jobs? Cities near Rome, GA with the most Remote Data Scientist job openings:
Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Rome, GA as of June 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,795 per year, or $59 per hour.

Data engineer

THE TILTED CIRCLE LLC

Calhoun, GA • On-site, Remote

$101K - $121K/yr

Other

Posted 4 days ago

Job description

Position: Senior Data Engineer
Location: Woodbury, NY/Calhoun, GA (Onsite)
Duration: Full Time

Woodbury, NY 11797 or Calhoun, GA 30701

& GC 

Experience- 10+ Yrs

A detailed write-up is required explaining how the candidate’s experience aligns with the role, company sizes/background of prior employers, and distance/commute information to the work location.

Work Model: First 6 months fully onsite, then minimum 3 days onsite/remains remote. Woodbury, NY candidates must be within a realistic commuting distance; NJ candidates will not be considered.

Focus: Microsoft Fabric, ETL, and Enterprise Data Warehouse

Role Summary

The Senior Data Engineer will own the design, implementation, and evolution of Client’s enterprise data platform, including ETL pipelines, data warehouse/Lakehouse architecture, and enterprise data modeling. This role will lead the transition from an on-premises SQL environment to a scalable Microsoft Fabric cloud analytics platform, driving future growth, advanced analytics, and self-service BI capabilities. This is a small team environment, requiring candidates who can work independently and are comfortable wearing multiple hats; candidates from large enterprise-only environments are not preferred. Client is a mid-sized organization with approximately $200–300M in annual sales.

Core Responsibilities

  • End-to-end ownership of data pipelines, models, and analytics architecture — from design through production support
  • Acts as the technical decision-maker for data platform standards and patterns
  • Comfortable operating in environments with evolving requirements and incomplete data
  • Ability to translate available data from pipelines into value-added analytics to the business’s benefit
  • Expected to proactively identify business solutions, data gaps, quality issues, and architectural improvements
  • Design and implement the Microsoft Fabric Lakehouse and data warehouse, and lead the transition from on-premises SQL-based solutions
  • Develop and maintain ETL and ELT pipelines using Fabric Data Factory, SQL, and notebooks
  • Ability to define and establish the semantic layer to enable servicing data to business resources for self-service visualizations
  • Apply scripting or notebook-based approaches, including Python/R/etc. where appropriate, for data transformation, automation, and data quality enforcement
  • Integrate data from AS400 ERP, Salesforce, HubSpot, and other SaaS platforms
  • Design analytical data models, fact and dimension tables, and curated data marts
  • Implement CI/CD practices for data pipelines and analytics assets, enabling agile, reliable, and controlled production deployments
  • Operate in an Agile delivery environment
  • Optimize platform performance, scalability, reliability, and cost
  • Support and stabilize existing datasets and dashboards
  • Drive Power BI adoption and define migration approach for legacy tools and standards
  • Design and implement data quality checks, monitoring, alerting, recovery mechanisms, and governance controls
  • Maintain documentation for pipelines, models, and integration patterns
  • Partner with IT and business stakeholders to translate requirements into data solutions

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, or equivalent experience
  • 6+ years of experience in data engineering, including enterprise data warehouse and analytics platforms
  • Advanced SQL skills with strong analytical and enterprise data modeling experience
  • Experience designing and operating data warehouses, lakes, or Lakehouse architectures in a cloud environment
  • Excellent communication skills with the ability to engage directly with technical and business stakeholders and recommend impactful business and architectural solutions.
  • Experience integrating ERP systems, CRM, and SaaS data sources
  • Experience supporting BI tools, including Tableau (phasing out) and Power BI
  • Stable work history required; no career consultants/serial short-term project candidates.
  • Manufacturing/Distribution industry exp required

Preferred Experience

  • Azure Synapse, Data Factory, or Databricks
  • Salesforce and HubSpot data models and APIs
  • Data governance, quality frameworks, and access controls

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