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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