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Full Time Data Scientist Risk Jobs (NOW HIRING)

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

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 ...

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

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 ...

Analygence

Data Scientist

Arlington, VA · On-site

Tharros is seeking a Data Scientist to serve as the program's senior analytical authority, leading ... Design, build, and sustain analytical models that support COA analysis, risk prioritization ...

Honeywell

Sr Advanced Data Scientist

Atlanta, GA · On-site

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 ...

Honeywell

Sr Advanced Data Scientist

Atlanta, GA · On-site +1

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 ...

Honeywell

Sr Advanced Data Scientist

Atlanta, GA · On-site +1

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 ...

Garmin International, Inc.

Data Scientist 2

Olathe, KS · On-site

Overview We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for analyzing complex data sets, developing ...

Analygence

Data Scientist

Arlington, VA · On-site

Design, build, and sustain analytical models that support COA analysis, risk prioritization ... data science and application development activities.

LexisNexis

Data Scientist

Alpharetta, GA · On-site

Are you passionate about using data science to drive smarter risk decisions and create meaningful business impact? Do you enjoy solving complex analytical challenges, working with large-scale data ...

RELX

Data Scientist

Alpharetta, GA

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... Our insurance risk solutions help drive better data-driven decisions across the insurance policy ...

RELX Group plc

Data Scientist

Alpharetta, GA · On-site

Are you passionate about using data science to drive smarter risk decisions and create meaningful business impact? Do you enjoy solving complex analytical challenges, working with large-scale data ...

Staffed4U

Data Scientist

Linthicum Heights, MD · On-site

Linthicum Heights, MD Work Schedule: Full-Time Clearance Required: Active TS/SCI with Polygraph ... Identify outliers and trends to help track systems as they move through the Risk Management ...

WebstaurantStore

Data Scientist - Marketing

Lititz, PA · On-site +1

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

Govcio LLC

Data Scientist

Fort George G Meade, MD · On-site

$156K - $176K/yr

Early data science input during IOC ensures that data collected will be suitable for downstream AI development, reducing risk and accelerating capability maturation during follow-on implementation

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How much do full time data scientist risk jobs pay per year?

As of Aug 22, 2026, the average yearly pay for full time data scientist risk 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 Scientist Risk vs Full Time Data Analyst Risk?

AspectFull Time Data Scientist RiskFull Time Data Analyst Risk
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; sometimes certifications in risk analyticsBachelor's in Data Analysis, Statistics, or related fields; certifications are common but less specialized
Work EnvironmentCollaborates with risk management teams, develops models, analyzes complex data setsPrepares reports, analyzes data trends, supports risk decision-making
Employer & Industry UsageFinancial institutions, insurance companies, banksFinancial firms, insurance companies, consulting agencies

Full Time Data Scientist Risk roles focus on developing advanced risk models and leveraging complex data analysis, requiring specialized skills and certifications. Full Time Data Analyst Risk positions involve data reporting and trend analysis to support risk decisions, often with less emphasis on modeling. Both roles are vital in risk management but differ in technical depth and responsibilities.

What cities are hiring for Full Time Data Scientist Risk jobs?

Cities with the most Full Time Data Scientist Risk job openings:

What are the most commonly searched types of Data Scientist Risk jobs?

The most popular types of Data Scientist Risk jobs are:

What states have the most Full Time Data Scientist Risk jobs?

States with the most job openings for Full Time Data Scientist Risk jobs include:

Full Time Data Scientist Risk jobs near you

Advanced Data Scientist

Honeywell

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 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 544 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 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

  • 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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