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Flexible Data Science Jobs in Georgia (NOW HIRING)

Honeywell

Advanced Data Scientist

Atlanta, GA

You will also be responsible for recommending innovative solutions by using various data science ... Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings ...

Guidehouse

Epidemiologist Data Scientist

Atlanta, GA · On-site

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts * Transit and ...

Honeywell

Advanced Data Scientist

Atlanta, GA

You will also be responsible for recommending innovative solutions by using various data science ... Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings ...

Munich RE

Data Scientist

Atlanta, GA · On-site

... flexible environment that helps them succeed both at work and at home. Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining ...

Omnissa

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-fro ... Lead the design and development of advanced data science and machine learning analytics models ...

Pursuit Aerospace

Lead Data Scientist

Thomasville, GA · On-site

$144K - $198K/yr

Bachelor's degree in data science or related field preferred * Master's degree preferred ... flexible spending accounts, EAP, paid time off, and company-paid holidays. The specific programs ...

Pursuit Aerospace

Lead Data Scientist

Thomasville, GA · On-site

Bachelor's degree in data science or related field preferred * Master's degree preferred ... flexible spending accounts, EAP, paid time off, and company-paid holidays. The specific programs ...

Workday

Data Scientist - AI Platform

Atlanta, GA

... flexible, usage-based products-like Workday Agents-that will drive the next generation of our ... data science efforts to understand business requirements and design, build, and implement ...

Unum UK

Data Scientist II - CX Analytics

Atlanta, GA · On-site +1

Flexible work environments *All the benefits listed above are subject to the terms of their ... In this role, you will focus on executing applied data science work-running analyses, supporting ...

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Flexible Data Science information

What is flexible data science?

Flexible data science refers to the practice of applying data science methods, tools, and techniques in a way that adapts to different industries, project requirements, and work environments. Professionals in flexible data science may work remotely, part-time, on contract, or across multiple domains, using skills in statistics, programming, and data analysis to solve a variety of problems. This approach allows both employers and data scientists to adjust workflows and deliverables to fit changing business needs and schedules.

How does a flexible data science role typically structure collaboration and workload across multiple projects?

In a flexible data science role, professionals often work on several projects simultaneously, collaborating with cross-functional teams such as engineering, product management, and business stakeholders. This structure requires strong communication skills and the ability to prioritize tasks effectively. The work environment is usually dynamic, with shifting priorities and the need to adapt to different project requirements. Flexibility in both working hours and methodologies enables data scientists to manage deadlines while delivering actionable insights for diverse business needs.

What are the key skills and qualifications needed to thrive as a flexible data scientist, and why are they important?

To thrive as a Flexible Data Scientist, you need a strong background in statistics, programming (Python or R), and data analysis, often supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), data visualization tools (such as Tableau or Power BI), and experience with cloud platforms are widely required. Adaptability, problem-solving, and effective communication are crucial soft skills for translating complex data insights into actionable business strategies. These competencies ensure you can handle varied data challenges, deliver valuable insights, and collaborate effectively across dynamic project environments.

What are the most commonly searched types of Data Science jobs in Georgia?

The most popular types of Data Science jobs in Georgia are:

What are popular job titles related to Flexible Data Science jobs in Georgia?

For Flexible Data Science jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Flexible Data Science jobs in Georgia look for?

The top searched job categories for Flexible Data Science jobs in Georgia are:

What cities in Georgia are hiring for Flexible Data Science jobs?

Cities in Georgia with the most Flexible Data Science job openings:

Flexible Data Science jobs near you

Advanced Data Scientist

Honeywell

Atlanta, GA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 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 545 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 promotingdata science methods and processes across functions 
  • You will report to the Director of Artificial intelligence
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

  • 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.

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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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