Senior Advanced Software Engineer (Data Scientist)

About the Role and Company

Join Honeywell Technologies in Singapore as a Senior Data Scientist to contribute to the forefront of industrial digital transformation through cutting-edge AI, machine learning, and analytics solutions for building automation and energy management. At Honeywell, you will collaborate with diverse innovators and leaders, grow through continuous learning, and be part of a culture that celebrates achievement and high performance.

Key Responsibilities

• Design, develop, and refine sophisticated AI, machine learning, forecasting, optimisation, and control algorithms tailored to industrial applications.
• Create mathematical models, simulations, digital twins, and predictive analytics using Python and MATLAB.
• Analyze extensive IoT and operational datasets to develop actionable insights and integrate algorithms into production platforms and customer products.
• Build scalable microservices to deploy AI and ML solutions in cloud and edge environments.
• Provide mentorship to engineers and promote best practices in data science across teams.
• Collaborate with application architects to integrate solutions within containerized microservices and distributed computing environments.
• Identify new business growth opportunities by analyzing data trends and industry developments.
• Develop data modeling, mining, pattern analysis, visualization, and machine learning solutions aligned with customer and business needs.
• Build strong relationships with business teams by understanding processes proactively and recommending innovative data-driven solutions.
• Effectively communicate project outcomes emphasizing customer value, business objectives, and product potentials.
• Drive data science methodology adoption across various functions and work with infrastructure teams to shape enterprise platform strategies supporting business expansion and productivity.

Candidate Qualifications

• Master's or PhD degree in Computer Science, Electrical Engineering, Data Science, Applied Mathematics, or related technical field.
• At least 7 years of experience in data science, machine learning, applied AI, cloud technologies, advanced analytics, or algorithm development.
• Over 5 years of practical experience in Python software development and more than 3 years using MATLAB for modeling, simulation, optimisation, and algorithm creation.
• Proven track record of developing predictive analytics, optimisation, forecasting, or advanced control systems.
• Experience deploying machine learning solutions to production environments, with knowledge of CI/CD pipelines, software testing, version control, and engineering best practices.
• Familiarity with distributed computing frameworks like Apache Spark.
• Strong foundation in statistics, mathematical modeling, optimisation methods, and machine learning theories.

Preferred Experience

• Expertise in building automation, energy management platforms, and industrial IoT systems.
• Knowledge of advanced optimisation techniques, reinforcement learning, model predictive control (MPC), and control algorithms.
• Experience with digital twin technology and real-time simulation frameworks.
• Background in industrial automation and operational technology environments.
• Proficiency with streaming analytics and real-time data processing pipelines.
• Skills in NLP, computer vision, image analytics, or deep learning approaches.
• Hands-on with Azure Cloud, Docker, Kubernetes, and MLOps ecosystems.
• Experience using SQL, Tableau, and modern analytics platforms.
• Ability to collaborate effectively with globally dispersed engineering teams.

Additional Information

Honeywell is committed to equal employment opportunity, considering all qualified applicants without bias related to age, race, gender identity, sexual orientation, disability status, or veteran status. For accessibility assistance, candidates may contact the provided email.

Location: Jurong, Singapore

Employment Type: Full-time, Onsite

Company Background: Honeywell Technologies is a leading global automation provider focused on delivering innovative solutions for building, industrial, and process sectors. Leveraging decades of data and deep expertise, the company pioneers the shift from automation to autonomy across industrial domains.