What are the responsibilities and job description for the Data Science Engineer for Turbomachinery Control System position at Lensa?
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Data Science Engineer for Turbomachinery Control System
Location: Des Moines, Iowa- Relocation assistance available if qualified
A challenging and rewarding opportunity to join a leading company in the field of turbomachinery and data science.
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world’s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. At CCC we develop mission critical control system for turbomachinery control applications deployed worldwide.
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
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
Data Science Engineer for Turbomachinery Control System
Location: Des Moines, Iowa- Relocation assistance available if qualified
A challenging and rewarding opportunity to join a leading company in the field of turbomachinery and data science.
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world’s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. At CCC we develop mission critical control system for turbomachinery control applications deployed worldwide.
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.
- Bachelors Degree in 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.
- Preferred experience in date science for turbomachinery or similar industrial applications.
- Preferred experience integrating thermos-properties databases with data ana
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
