Advanced Data Scientist

Honeywell
Atlanta
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Problem-solving","Communication","Teamwork"]

Join Honeywell Forge and AI to design, develop, and deploy data-driven AI/ML solutions across industrial domains. You’ll work with data scientists and engineers to build scalable models, define data acquisition, and advance analytics on the Forge platform. This global, high-performance team focuses on IoT, cloud, and analytics to improve productivity, safety, and sustainability.

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Honeywell
Honeywell
4 months ago

Advanced Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Join Honeywell Forge and AI to design, develop, and deploy data-driven AI/ML solutions across industrial domains. You’ll work with data scientists and engineers to build scalable models, define data acquisition, and advance analytics on the Forge platform. This global, high-performance team focuses on IoT, cloud, and analytics to improve productivity, safety, and sustainability.
Location: Atlanta
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and deploy innovative AI/ML models and solutions that generate new business growth and value.
  • •Define data acquisition strategy when required and apply data science methods including hypothesis testing.
  • •Govern analytics strategy for Honeywell Forge by building out AI/ML capabilities and promoting data science methods across functions.
  • •Promote data science methodologies and processes across the organization.
  • •Report to the Director of Artificial intelligence

Pay and Benefits

Perks:Health Insurance401kVisionLife InsuranceDisabilityPaid Holidays

Key Requirements

  • •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
Experience:AIIoTCloud computingIndustrial automation
Education:Bachelor's
Skills:Problem-solvingCommunicationTeamwork
Languages:English
Tech Stack:PythonSparkAWSAzureGCPPyTorchTensorFlowKerasDockerKubernetes

Company Brief

Honeywell
Global diversified technology and manufacturing company providing aerospace systems, building technologies, performance materials, and safety & productivity solutions for industrial, commercial, and consumer markets.
Industry: Conglomerates & Holding Companies
Company Size: Enterprise (1,001+ employees)
Revenue: USD 25B to 50B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Charlotte, United States
Founded: 1906
Glassdoor
Glassdoor: 3.8
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