Sr Advanced Software Engr (Data Scientist)

Honeywell
Singapore
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 7+ yearsEducation: mastersSkills: ["Mentoring","Proactive collaboration","Communication","Data science best practices","Understanding business processes"]

Develop and optimize advanced AI/ML, forecasting, optimisation, and control algorithms for building automation and energy management applications. Build mathematical models, simulations, and digital twins using Python and MATLAB, and apply them to large-scale industrial IoT datasets. Deploy scalable microservices and production AI/ML solutions across cloud and edge environments, mentoring engineers and integrating results into operational platforms.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Honeywell
Honeywell
12 hours ago

Sr Advanced Software Engr (Data Scientist)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Develop and optimize advanced AI/ML, forecasting, optimisation, and control algorithms for building automation and energy management applications. Build mathematical models, simulations, and digital twins using Python and MATLAB, and apply them to large-scale industrial IoT datasets. Deploy scalable microservices and production AI/ML solutions across cloud and edge environments, mentoring engineers and integrating results into operational platforms.
Location: Singapore
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and optimise advanced AI, machine learning, forecasting, optimisation, and control algorithms.
  • •Develop mathematical models, simulations, digital twins, and predictive analytics solutions using Python and MATLAB.
  • •Analyse large-scale operational and industrial IoT datasets and integrate algorithms into operational platforms and customer-facing products.
  • •Develop scalable microservices and deploy AI/ML solutions into cloud and edge environments.
  • •Mentor engineers and promote data science best practices while collaborating with architects to integrate results into operational platforms.

Key Requirements

  • •Master's degree or PhD in Computer Science, Electrical Engineering, Data Science, Applied Mathematics, or related fields.
  • •7+ years of experience in Data Science, Cloud technologies, Machine Learning, Applied AI, Advanced Analytics, or Algorithm Development.
  • •5+ years of hands-on software development experience using Python.
  • •3+ years of experience using MATLAB for modelling, simulation, optimisation and algorithm development.
  • •Experience developing and deploying machine learning solutions into production environments, including CI/CD and testing/version control practices.
Experience:7+ yearsData scienceCloudMachine learningAIAdvanced analyticsAlgorithm developmentIndustrial IoT
Education:Master's in Computer Science, Electrical Engineering, Data Science, Applied Mathematics
Skills:MentoringProactive collaborationCommunicationData science best practicesUnderstanding business processes
Tech Stack:PythonMATLABMicroservicesCloudEdgeDockerKubernetesAzureMLOpsSparkCI/CDSQLTableauForecastingOptimisationPredictive analyticsDigital twinsDigital twin simulationDistributed computingTesting frameworks

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
WebsiteLinkedInGlassdoor