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Remote Data Scientist Deep Learning Jobs in Georgia

Minimum of 2 years of experience in deep learning frameworks like PyTorch, Tensorflow, Keras ... Experience working with remote and global teams * Results driven with a positive can-do attitude ...

Minimum of 2 years of experience in deep learning frameworks like PyTorch, Tensorflow, Keras ... Experience working with remote and global teams * Results driven with a positive can-do attitude ...

Data Scientist

Atlanta, GA · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0247378 Location: Atlanta,GA,US Share job via: Share Data ... Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue ... combine deep expertise in pricing and revenue management with modern software, machine learning ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue ... combine deep expertise in pricing and revenue management with modern software, machine learning ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Mentor junior data scientists and team members. Required Technical Skills: * FCAS required ... Deep understanding of GLMs and GBMs. * Familiarity with AI and machine learning concepts, including ...

Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data ...

... and remote resources to get the job done - consistently Here is the Job details: Title: Data ... machine learning algorithms High proficiency in the use of statistical packages Proficiency in ...

This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ... This role is ideal for a seasoned data science professional with deep expertise in modeling ...

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

This role requires deep knowledge in specialized data science areas, particularly in recommendation ... As a Data Scientist, you will apply advanced analytics methods, machine learning algorithms, and ...

Senior Data Scientist

Atlanta, GA · On-site +1

$160K - $180K/yr

THE ROLE The machine learning team sits at the heart of our technology and delivers on the core ... Familiarity with agile and working in a remote & asynchronous team We are looking for talented ...

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

Lead the design and development of advanced data science and machine learning analytics models using structured, unstructured and semi-structured data. * Work with engineers to design and implement ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data ...

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Deep expertise in at least two of the following skillsets preferred; and competency in the other:

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Remote Data Scientist Deep Learning information

What is a remote data scientist specializing in deep learning?

Remote data scientists specializing in deep learning are professionals who use advanced machine learning techniques, particularly deep neural networks, to analyze large amounts of data and extract meaningful insights. They work from remote locations, leveraging digital tools to build, train, and deploy deep learning models for tasks such as image recognition, natural language processing, and predictive analytics. These experts collaborate with other team members virtually, contributing to projects in industries like healthcare, finance, and technology without needing to be physically present in an office.

What are the key skills and qualifications needed to thrive as a remote data scientist specializing in deep learning?

To thrive as a Remote Data Scientist specializing in Deep Learning, you need a strong background in mathematics, statistics, programming (especially Python), and experience with deep learning frameworks such as TensorFlow or PyTorch, often supported by a relevant degree. Familiarity with cloud platforms (e.g., AWS, GCP), version control systems like Git, and certifications in machine learning are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help you stand out in this position. These skills and qualities are essential for designing robust models, collaborating with distributed teams, and delivering impactful AI solutions.

How do remote data scientists specializing in deep learning typically collaborate with cross-functional teams?

Remote Data Scientists in Deep Learning often work closely with software engineers, product managers, and domain experts through virtual meetings, shared documentation, and version-controlled code repositories. They collaborate on defining project goals, sharing model insights, and integrating machine learning solutions into products. Effective communication and clear documentation are crucial, as team members may be in different time zones or have varying technical backgrounds. Tools like Slack, JIRA, and GitHub are commonly used to streamline collaboration and track progress.

What are the most commonly searched types of Data Scientist Deep Learning jobs in Georgia?

The most popular types of Data Scientist Deep Learning jobs in Georgia are:

What job categories do people searching Remote Data Scientist Deep Learning jobs in Georgia look for?

The top searched job categories for Remote Data Scientist Deep Learning jobs in Georgia are:

What cities in Georgia are hiring for Remote Data Scientist Deep Learning jobs?

Cities in Georgia with the most Remote Data Scientist Deep Learning job openings:

Sr Advanced Data Scientist

Honeywell

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

66th of 544 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 Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world's most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition from automation to autonomy.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.


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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