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Full Time Data Science Sustainability Jobs (NOW HIRING)

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

... sustainable. YOU MUST HAVE * Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field * Minimum of 4 years of full time Data Science prototyping experience ...

Honeywell

Advanced Data Scientist

Atlanta, GA

... sustainable. YOU MUST HAVE * Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field * Minimum of 4 years of full time Data Science prototyping experience ...

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Full Time Data Science Sustainability information

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$37.5K

$122.7K

$196.5K

How much do full time data science sustainability jobs pay per year?

As of Aug 3, 2026, the average yearly pay for full time data science sustainability in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Science Sustainability vs Full Time Data Analyst Sustainability?

AspectFull Time Data Science SustainabilityFull Time Data Analyst Sustainability
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; knowledge of programming languages like Python or RBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often in tech, consulting, or sustainability sectorsBusiness units, reporting teams, often in corporate or environmental organizations
Employer & Industry UsageTech companies, consulting firms, environmental agenciesCorporations, government agencies, NGOs focused on sustainability

Full Time Data Science Sustainability roles focus on advanced data modeling, machine learning, and predictive analytics to support sustainability initiatives. In contrast, Full Time Data Analyst Sustainability positions emphasize data collection, reporting, and visualization to inform sustainability strategies. Both roles require strong analytical skills but differ in technical depth and scope.

More about Full Time Data Science Sustainability jobs
What cities are hiring for Full Time Data Science Sustainability jobs? Cities with the most Full Time Data Science Sustainability job openings:
What are the most commonly searched types of Data Science Sustainability jobs? The most popular types of Data Science Sustainability jobs are:
What job categories do people searching Full Time Data Science Sustainability jobs look for? The top searched job categories for Full Time Data Science Sustainability jobs are:
Full Time Data Science Sustainability jobs near you
Infographic showing various Full Time Data Science Sustainability job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Advanced Data Scientist

Honeywell

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

68th of 536 rated manufacturers

Job description


Honeywell Forge and AI team is a significant business segment of Honeywell International Inc., focusing on providing innovative AI and software solutions that enhance operational efficiency and drive digital transformation across various industries. Forge is the flagship software product of Honeywell. Forge and AI team, as the AI center of excellence, leverages advanced technologies such as the Internet of Things (IoT), cloud computing, artificial intelligence (AI), and data analytics to create integrated solutions that improve productivity, safety, and sustainability.
Key functions and offerings of Honeywell Forge and AI team include: Industrial IoT Solutions, Data Analytics, Cybersecurity, Smart Building Solutions, Supply Chain Optimization, Sustainability Initiatives, and Smart Manufacturing
We're looking for a new team member who is motivated by cracking tough challenges with data, trained in problem solving, and with an unending thirst for learning.
As an Advance Data Scientist, you will join a high-performing, global team, and be responsible for designing, developing, and implementing data driven solutions for all Honeywell business groups and functions. You will work closely with data scientists and data engineers, application architects to integrate results into operational platforms
RESPONSIBILITES
  • The Advance Data Scientist role is expected to work within Honeywell to build and deploy innovative AI/ML models and solutions that generate new business growth and value.
  • You will also be responsible for recommending innovative solutions by using various data science methods including hypothesis testing and be responsible for defining the data acquisition strategy when required.
  • 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 Director of Artificial intelligence

Qualifications
YOU MUST HAVE
  • Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field
  • 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 4 years of experience with distributed storage and compute tools (e.g. Spark)
  • Minimum of 4 years' experience developing and deploying machine learning models on cloud platforms (e.g. AWS, Azure, GCP etc.)
  • Minimum of 4 years of experience in deep learning frameworks like PyTorch, Tensorflow, Keras
  • Minimum of 4 years' Experience with designing, building models and deploying pipelines to production using containerized microservices and/or orchestrated batch runs

WE VALUE
  • 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

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: Benefits at Honeywell
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: 03/15/2026
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
About Us
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.

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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

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