Senior Data Scientist & AI Algorithm Engineer

Honeywell Technologies

Singapore

Hybrid

SGD 120,000 - 200,000

Full time

14 days+
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Job summary

Honeywell Technologies in Jurong, Singapore, is seeking a Senior Data Scientist/Algorithm Engineer to develop next-generation AI, ML, optimisation and control algorithms for building automation and energy management. You will design and deploy data-driven solutions across cloud and edge environments, mentoring engineers and collaborating with architects.

You will work in a global team, transforming industrial IoT data into scalable microservices and digital twins, delivering production-ready

Qualifications

  • Master's degree or PhD in Computer Science, Electrical Engineering, Data Science or related discipline.
  • 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.
  • 3+ years of experience developing predictive analytics, optimisation, forecasting or advanced control system solutions.
  • Experience developing and deploying machine learning solutions into production environments.
  • Experience with CI/CD pipelines, testing frameworks, version control and software engineering best practices.
  • Experience with distributed computing and data processing platforms such as Spark.
  • Strong foundation in statistics, machine learning, optimisation and mathematical modelling.

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. 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.
  • As a Senior Data Scientist, you will join a high-performing, global team, and assist with designing, developing, and deploying data driven solutions for all Honeywell business groups and functions.
  • You will work closely with application architects to integrate results into operational platforms including containerized microservices and distributed compute and storage architectures.
  • Additionally, the Senior Data Scientist role is expected to work within Honeywell to identify opportunities for new growth and efficiencies based on data analyses both in adjacencies based on previous engagements, as well as larger industry developments.
  • Develop: data modeling, mining, pattern analysis, data visualization and machine learning solutions to address customer needs
  • Foster: relationships with business team members by being proactive, displaying a thorough understanding of the business processes and by recommending innovative solutions
  • Communicate: project output in terms of customer value, business objectives, and product opportunity
  • Promote: data science methods and processes across functions
  • Work: with our businesses and infrastructure teams to develop a strategy that will clearly outline how our enterprise platforms can enable business growth & productivity

Skills

Data Science
Python
ML
Cloud technologies
Machine Learning
Distributed computing
CI/CD
Spark

Education

Master's/PhD in CS/EE/Data Science

Tools

Azure Cloud
Docker
Kubernetes
MLOps
Tableau
Spark

Job description

Honeywell Technologies in Jurong, Singapore, is seeking a Senior Data Scientist/Algorithm Engineer to develop next-generation AI, ML, optimisation and control algorithms for building automation and energy management. You will design and deploy data-driven solutions across cloud and edge environments, mentoring engineers and collaborating with architects.

You will work in a global team, transforming industrial IoT data into scalable microservices and digital twins, delivering production-ready

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