3

Full Time Remote Data Modeler Jobs in Atlanta, GA

Sr Advanced Data Scientist

Atlanta, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning ... Experience with LLM and Natural Language Processing models * Experience working with remote and ...

Sr Advanced Data Scientist

Atlanta, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning ... Experience with LLM and Natural Language Processing models * Experience working with remote and ...

Benefits Realization Architect

Atlanta, GA · On-site +1

$57.74 - $71.74/hr

And more Remote position, however candidates must reside in one of the following states: Alabama ... Cogito, Revenue Data Model, and financial platforms, and a passion for leveraging data to drive ...

Be Seen First

... data-entry skills * Working knowledge of computers, email, printers, and scanners * Knowledge of DOT regulations * Reliable, self-motivated, and professional Work Requirements * Full-time, remote ...

New

Be Seen First

... data-entry skills * Working knowledge of computers, email, printers, and scanners * Knowledge of DOT regulations * Reliable, self-motivated, and professional Work Requirements * Full-time, remote ...

New

Showing results 41-60

Full Time Remote Data Modeler information

See Atlanta, GA salary details

$9

$56

$79

How much do full time remote data modeler jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for full time remote data modeler in Atlanta, GA is $56.46, according to ZipRecruiter salary data. Most workers in this role earn between $50.62 and $65.67 per hour, depending on experience, location, and employer.

What is a full time remote data modeler?

Full Time Remote Data Modelers are professionals who design, create, and maintain data models for organizations while working from a remote location. Their main responsibility is to structure and organize data so it can be efficiently stored, accessed, and analyzed, often collaborating with data engineers, analysts, and other IT staff. Working full time means they typically work a standard 40-hour week, and since the role is remote, all communication and collaboration are done virtually. These professionals are essential for organizations that rely heavily on data-driven decision making and need robust data infrastructure. They often use tools like ERwin, SQL, or PowerDesigner and are skilled in database management and programming.

What are the key skills and qualifications needed to thrive as a full time remote data modeler?

To thrive as a Full Time Remote Data Modeler, you need expertise in database design, data modeling concepts (such as ER diagrams and normalization), and a degree in computer science or a related field. Familiarity with data modeling tools (like ER/Studio, Erwin, or SQL-based platforms) and experience with cloud databases are commonly required. Strong analytical thinking, attention to detail, and effective remote communication skills help you excel in collaborating with distributed teams. These skills are crucial for ensuring accurate data structures, efficient data flow, and seamless integration in complex, remote-driven projects.

How do full time remote data modelers typically collaborate with distributed teams to ensure data consistency and project alignment?

Full Time Remote Data Modelers usually work closely with other data professionals, such as data engineers, analysts, and business stakeholders, using collaborative tools like shared documentation, version control systems, and virtual meetings. Clear communication and regular sync-ups are essential to ensure everyone understands the data models and that standards are consistently applied across projects. These professionals often participate in daily stand-ups, design reviews, and cross-functional team discussions to address challenges, clarify requirements, and maintain alignment with business goals. Remote work requires proactive communication and a disciplined approach to documentation to avoid misinterpretations and ensure data integrity.

What is the difference between Full Time Remote Data Modeler vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ModelerFull Time Remote Data Analyst
Primary RoleDesigns and develops data models and database structuresAnalyzes data to generate reports and insights
Required SkillsData modeling, database design, SQL, data warehousingData analysis, visualization, SQL, statistical tools
Work EnvironmentRemote, often collaborating with data engineers and architectsRemote, working with business teams and stakeholders
Common CertificationsCDMP, CBIP, Microsoft Certified Data AnalystMicrosoft Certified Data Analyst, SAS, Tableau certifications

While both roles work remotely and require SQL and data skills, a Full Time Remote Data Modeler focuses on designing data structures, whereas a Full Time Remote Data Analyst interprets data to support business decisions. They complement each other but serve different functions within data teams.

What are the most commonly searched types of Remote Data Modeler jobs in Atlanta, GA?

The most popular types of Remote Data Modeler jobs in Atlanta, GA are:

What are popular job titles related to Full Time Remote Data Modeler jobs in Atlanta, GA?

For Full Time Remote Data Modeler jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Full Time Remote Data Modeler jobs in Atlanta, GA look for?

The top searched job categories for Full Time Remote Data Modeler jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Full Time Remote Data Modeler jobs?

Cities near Atlanta, GA with the most Full Time Remote Data Modeler job openings:

Infographic showing various Full Time Remote Data Modeler job openings in Atlanta, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $117,440 per year, or $56.5 per hour.

Sr Advanced Data Scientist

Honeywell

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

67th of 542 rated manufacturers


Job description

As a Sr Advanced Data Scientist here at Honeywell, you will leverage your expertise in advanced analytics and data science to develop innovative solutions that drive business growth and operational efficiency. You will work on complex data sets and cutting-edge technologies to extract actionable insights that influence strategic decisions.

You will work out of our Atlanta, GA location on a hybrid work schedule.

In this role, you will impact the company's ability to harness data-driven insights to optimize processes, enhance product offerings, and contribute to Honeywell's leadership in technology innovation.

KEY RESPONSIBILITIES

  • The Sr Advanced Data Scientist role is expected to work within Honeywell to identify opportunities for new growth and efficiency based on data analyses and foster relationships with business team members by being proactive, displaying a thorough understanding of the business processes. 
  • You will also be responsible for recommending innovative solutions by using various data science methods including hypothesis testing and also be responsible for defining the data acquisition strategy when required. 
  • After influencing scope and prioritizing the analytics pipeline, you will assist in leading the technical execution of data science projects directing daily work of junior data scientists and will be responsible for the overall success of the project. This includes stakeholder management by presenting regular updates and final results to senior leadership of the customer organization. 
  • You will also be expected to actively participate in defining and governing our analytics strategy for 
  • Honeywell building out AI/ML capabilities of our Forge platform and promoting data science methods and processes across functions 
  • You will report to the Data Science Leader in Honeywell Connected Enterprise. 
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.YOU MUST HAVE
  • Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial setup.
  • Minimum of 4 years of full time Machine Learning experience applied on top of processes, systems, and hardware in a commercial setup.
  • Minimum of 3 years of experience with distributed storage and compute tools (e.g. Spark)
  • Minimum of 3 years' experience developing and deploying machine learning models on cloud platforms (e.g. AWS, Azure, GCP etc.)
  • Minimum of 2 years of experience in deep learning frameworks like PyTorch, Tensorflow, Keras
  • Minimum of 2 years' Experience with designing, building models and deploying pipelines to production using containerized microservices and/or orchestrated batch runs
WE VALUE
  • Bachelor's degree or Advanced degree in Computer Science, Statistics, Mathematics, or related discipline.
  • Master's degree in computer science, Engineering, Applied Mathematics or related STEM field
  • PhD degree in Computer Science, Engineering, Applied Mathematics or related STEM field
  • Experience with MLOPS best practices and implementations
  • Experience with LLM and Natural Language Processing models
  • Experience working with remote and global teams
  • Results driven with a positive can-do attitude
BENEFITS OF WORKING FOR HONEYWELL

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here

The application period for the job is estimated to be 40 days from the job posting date August 14, 2026; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

ABOUT HONEYWELL

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state of the art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell: click here

THE BUSINESS UNIT

Honeywell Advanced Materials is an industry leading solutions provider, playing a crucial role in advancing industries worldwide through diverse applications, revolutionary inventions, and pioneering technologies focused on high growth mega-trends. Our science and technology experts create solutions that help solve our customers' needs today and in the future. Our solutions span across industries, including retail, healthcare and pharma, buildings, manufacturing and hi-tech. In each of these verticals we bring deep materials and engineering knowledge, which leads to our customers achieving reduction in energy consumption, cutting down their carbon emissions and improving their operational efficiencies.


What Honeywell employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Honeywell logo

About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906