Bosch
Engineer Data (Multiple Positions) (REF291620F)
Charleston, SC, United States · Full-time · Posted Jul 14, 2026
- Experience
- 3 years as a Mechanical Engineer, Data Scientist, or in an occupation involving data processing, designing mechanical components, testing, and validating components.
- Education
- Bachelor’s degree or foreign equivalent in Mechanical Engineering, Aerospace Engineering, Computer Science, Informatics, Information Systems, or a related field.
About the job
Build and maintain data pipelines and analytics tools for test, experimental, and production data to support engineering insights, process improvements, and digitalization.
What you'll do
- Create data pipelines to extract, transform, and analyze data from multiple sources and build tools that provide actionable engineering and manufacturing insights.
- Apply machine learning and visualization methods to classify and evaluate test data, monitor release testing, and support predictive maintenance and performance evaluation.
- Collaborate with engineering and international data teams on data infrastructure, root-cause analysis, and process improvements, including automated analysis pipelines and physics-based modeling.
What they ask for
- Bachelor’s degree or foreign equivalent in Mechanical Engineering, Aerospace Engineering, Computer Science, Informatics, Information Systems, or a related field.
- Employment experience with cloud environments such as Azure and Databricks, and proficiency in Python for large-scale data analysis.
- Employment experience with PySpark or Scala and Python for transformation, modeling, and analysis of high-volume test and experimental data.
- Employment experience with machine learning, root-cause analysis, and large experimental and production datasets; named tools include Tableau, Power BI, Qlik, Siemens NX, Teamcenter, MS Project, MATLAB, Ansys Fluent, and Abaqus.
Tools
Python, SQL, MS Azure, Azure, Databricks, PySpark, Scala, Tableau
AI focus
Apply machine learning algorithms for classification, predictive maintenance, and test data analysis.
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