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Remote Data Science 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 ...

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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.
More about Remote Data Science jobs
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What job categories do people searching Remote Data Science jobs in Rome, GA look for? The top searched job categories for Remote Data Science jobs in Rome, GA are:
What cities near Rome, GA are hiring for Remote Data Science jobs? Cities near Rome, GA with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Rome, GA as of June 2026, with employment types broken down into 2% As Needed, 71% Full Time, 23% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

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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