Sr Advanced Data Scientist

Honeywell
Atlanta
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsSkills: ["Results-driven","Positive attitude","Hypothesis testing","Stakeholder management","Team collaboration"]

Develop and deploy advanced machine learning solutions that turn complex data into actionable business insights. Prototype and productionize models using distributed storage/compute (e.g., Spark) and cloud platforms (AWS, Azure, GCP), with deep learning (PyTorch/TensorFlow/Keras) and production pipelines built from containerized microservices or orchestrated batch runs. Lead execution of data science projects, partner with business stakeholders, and help build Honeywell Forge AI/ML capabilities.

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Honeywell
Honeywell
4 days ago

Sr Advanced Data Scientist

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Develop and deploy advanced machine learning solutions that turn complex data into actionable business insights. Prototype and productionize models using distributed storage/compute (e.g., Spark) and cloud platforms (AWS, Azure, GCP), with deep learning (PyTorch/TensorFlow/Keras) and production pipelines built from containerized microservices or orchestrated batch runs. Lead execution of data science projects, partner with business stakeholders, and help build Honeywell Forge AI/ML capabilities.
Location: Atlanta
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Identify opportunities for new growth and efficiency through data analysis and communicate insights to business team members.
  • •Recommend innovative solutions using data science methods, including hypothesis testing, and define data acquisition strategies when needed.
  • •Define and prioritize analytics pipelines, and help lead technical execution of projects directing the daily work of junior data scientists.
  • •Manage stakeholders by presenting regular updates and final results to senior leadership of the customer organization.
  • •Help define and govern Honeywell’s analytics strategy for building AI/ML capabilities of the Forge platform and promoting data science methods across functions.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceLong-term Disability401kParental LeavePaid LeavePaid HolidaysEap

Key Requirements

  • •Minimum 4 years of full-time Data Science prototyping experience using Python and machine learning techniques (supervised, unsupervised, reinforcement learning) in a commercial setup.
  • •Minimum 4 years of full-time Machine Learning experience applied to processes, systems, and hardware in a commercial setup.
  • •Minimum 3 years of experience with distributed storage and compute tools (e.g., Spark).
  • •Minimum 3 years of experience developing and deploying machine learning models on cloud platforms (e.g., AWS, Azure, GCP).
  • •Minimum 2 years of experience with deep learning frameworks like PyTorch, Tensorflow, and Keras, plus designing/building production ML pipelines with containerized microservices and/or orchestrated batch runs.
Experience:4+ yearsMachine learningMLOpsLLMNatural language processing
Education:
Skills:Results-drivenPositive attitudeHypothesis testingStakeholder managementTeam collaboration
Tech Stack:PythonMachine learningSparkAWSAzureGCPPyTorchTensorflowKerasDeep learningLLMsNatural language processingContainerized microservicesOrchestrated batch runsForge platform

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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