Honeywell Data Science Engineer Turbomachinery Control System 

Myanmar, Mandalay, Mandalay 

778044991

Data Science Engineer for Turbomachinery Control System

As a data scientist, you will be responsible for ideating, designing, and developing advanced solutions with the goals of improving asset reliability, efficiency, and performance through analysis of turbomachinery operational data. Examples of such time-series data includes continuously collected pressure, temperature, flow, actuator position, etc. You will collaborate with technology team to design the data infrastructure and interfaces, integrating with CCC control system and wider plant environment. You will develop statistical and machine learning analytical models and visualization dashboards, allowing end users to easily extract insights and actionable recommendations.

Key Responsibilities

Design system architecture and components for data analytics integrating into existing turbomachinery control system.

Develop, test, and deploy scalable and robust data pipelines and analytical models using Python, SQL, Spark, Pandas, and other tools and frameworks.

Implement solutions that leverage appropriate data pre-processing statistical analysis, and machine learning techniques, such as regression, classification, clustering, anomaly detection, and forecasting, to address various use cases, such as performance optimization, fault diagnosis, predictive maintenance, and anomaly detection.

Design and prototype intuitive data visualization methods.

Stay updated with the latest developments and trends in the field of turbomachinery and data science, and identify new opportunities and challenges for data-driven decision making.

You Must Have

n data science, computer science, statistics, engineering, or related field.

At least 5 years of relevant work experience in data science, machine learning, or data engineering.

Strong knowledge and experience in working with time-series data.

Proficient in data science architectures and pipelines.

Proficient in developing and deploying analytical models.

Proficient in Python, SQL, and common data science libraries and frameworks, such as pandas, numpy, scikit-learn, TensorFlow, PyTorch, Spark, etc.

Excellent data visualization and communication skills, with the ability to automate dashboard creation to visualize complex data science concepts and results to different audiences.

Strong problem-solving and analytical skills, with the ability to work independently and collaboratively in a fast-paced and dynamic environment.

Passionate and curious about turbomachinery and data science, and eager to learn and grow.

We Value

Preferred experience in date science for turbomachinery or similar industrial applications.

Preferred experience integrating thermos-properties databases with data ana

DegMasters or PhD Degree in data science, computer science, statistics, engineering, or related field.

Additional Information

• JOB ID: HRD260642
• Category: Engineering
• Location: 4745 121st Street,Des Moines,Iowa,50323,United States
• Exempt