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Bosch Home Comfort

Makes heating, cooling and hot-water equipment

Industrial AI Data Scientist

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeSuzhou, Jiangsu, ChinaNo salary listedIn-person

About the Job

Requirements

  • A master's degree or higher in computer science, artificial intelligence, data science, statistics, applied mathematics, automation, electrical engineering, or a related major.
  • At least three years of practical experience in artificial intelligence, machine learning, or data science.
  • Practical experience developing and deploying machine-learning and deep-learning models in real-world settings.
  • Strong Python programming skills and proficiency with mainstream frameworks such as PyTorch, TensorFlow, or Scikit-learn.
  • Practical ability in time-series analysis, anomaly detection, predictive modeling, and feature engineering.
  • A strong foundation in statistics, including model evaluation, uncertainty quantification, and robustness analysis.
  • Fluent English in listening, speaking, reading, and writing.

Responsibilities

  • Deliver industrial AI solutions end to end, from problem definition and data preparation through model development, production deployment, and ongoing iteration, advancing solutions from proof of concept to minimum viable product and scaled application while ensuring measurable business value.
  • Develop predictive-maintenance capabilities for equipment health monitoring, anomaly detection, failure prediction, remaining useful life estimation, and root-cause analysis, and translate algorithm metrics into business key performance indicators such as equipment availability, downtime losses, and maintenance costs.
  • Build enterprise knowledge capabilities using large language models, retrieval-augmented generation, vector databases, knowledge graphs, and agents, integrating structured and unstructured knowledge from maintenance records, technical documentation, and expert experience.
  • Ingest, clean, engineer features from, and govern the quality of multi-source industrial data, including sensor and equipment signals and data from manufacturing execution systems and supervisory control and data acquisition systems.
  • Build reusable algorithm components and technical frameworks to enable solutions to be replicated across equipment, production lines, and factories; contribute to industrial AI strategy and best practices.
  • Identify AI application opportunities, address ambiguous and complex industrial problems, and turn ideas into deployable solutions and business value.
  • Collaborate closely with product managers, solution architects, data and software engineers, and manufacturing experts.

Desired Qualifications

  • Experience in manufacturing or industrial project environments.

About the Company

Bosch Home Comfort

Makes heating, cooling and hot-water equipment

Bosch Home Comfort makes heating, cooling and hot-water equipment for homes, commercial buildings and industrial users. Its portfolio combines electric heat pumps with gas-fired boilers and hybrid systems, giving customers different ways to control building temperatures and supply hot water. The business sells equipment through its brands' sales networks, with products adapted to regional building needs and energy requirements. Its inverter-driven heat pumps adjust compressor output to match demand rather than running constantly at full power. The Bosch business unit was formed through the merger of Bosch and Buderus heating activities in 2004 and is headquartered in Wetzlar, Germany.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Wetzlar, Germany
Founded
2004

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