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SSME XP Software Engineer - Data Science

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Onsite

SSME XP Software Engineer - Data Science

上海西门子医疗器械有限公司

SSME XP Software Engineer - Data Science

Skills

Google Cloud PlatformSQL QueriesData EngineeringTableauData MiningPythonData ScienceData VisualizationNumPypandasPyTorchTensorFlowDatabricksData AnalysisMachine LearningAIScalaAWSPower BIAzure

3 months ago

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Important information


Contract type:

Permanent

Location:

Shanghai, China

Work mode:

Onsite

Published on:

13 August 2026

What they need


该职位来源于猎聘 Responsibilities

  • Design, develop, and maintain scalable data pipelines to ingest, process, and store machine-generated data from X-ray systems.
  • Collaborate with cross-functional stakeholders to define data requirements and ensure data quality, consistency, and reliability.
  • Develop analytical models, reports, and dashboards to monitor machine performance, detect anomalies, predict failures, and support data-driven decision-making.
  • Apply statistical analysis and machine learning techniques to identify patterns, trends, and root causes from large-scale datasets.
  • Keep abreast of emerging technologies and best practices in Data & AI (e.g., LLMs, MLOps, Databricks).
  • Evaluate and pilot innovative tools and methodologies, driving successful adoption within the organization. Qualifications Required
  • At least 3 years of experience in data science, data analytics, or a related field within a manufacturing environment.
  • Master’s degree in Engineering, Computer Science, Data Science, or a related discipline.
  • Strong programming skills in Python (Pandas, NumPy, Scikit-learn) and/or Scala (Spark).
  • Solid SQL skills for data extraction, transformation, and analysis.
  • Hands-on experience with data visualization tools such as Power BI, Qlik Sense, or Tableau.
  • Familiarity with cloud-based data platforms (Azure, AWS, or GCP).
  • Excellent verbal and written communication skills in English. Preferred
  • Experience with Databricks or similar modern data engineering platforms.
  • Experience developing and deploying machine learning models using frameworks such as TensorFlow or PyTorch.
  • Knowledge of Large Language Models (LLMs) and Generative AI technologies and their practical applications.

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