Automotive Data Scientist: Battery Analytics & ML

GlobalLogic; Göteborgs kommun; On-site; SEK 600,000 - 800,000; Full time

Benefits offered by this job

Empowering Projects

Empowering Growth

DE&I Matters

Career Development

Comprehensive Benefits

Flexible Opportunities

Job summary

GlobalLogic is seeking a data analytics professional to join the Vehicle Propulsion and Energy Data Analytics team. You will analyze high voltage battery data, build Python data pipelines, and create visuals to inform developers and designers.

You will perform statistical analyses, develop ML models, and present results through dashboards. Collaboration and clean, scalable Python code are essential in a Linux/cloud environment.

Qualifications

• Analytical data work covering HV batteries and vehicle data
• Proficiency with PySpark, SQL and ETL pipelines
• Strong Python coding best practices and readable code
• Experience with data visualization using matplotlib or seaborn
• Familiarity with numpy, scipy, pandas, polars
• Git proficiency and code reviews
• Experience with cloud platforms (Azure, AWS) and Databricks/Jupyter
• Automotive/diagnostics domain experience strongly preferred
• Machine learning and statistical modeling capabilities
• Software development for Linux environments

Responsibilities

• Perform statistical analyses of fleet data to derive insights
• Develop ML models and predictive analytics for vehicle systems
• Create clear visualizations and dashboards for stakeholders
• Write and review Python code; enable automated feedback on software/hardware quality

Skills

Exploratory data analysis

Pyspark

SQL

ETL pipelines

Visualization (matplotlib, seaborn)

Python clean code

Scientific computing (numpy, scipy, g)

pandas

polars

Git

Databricks

Jupyter

Automotive domain experience

HV battery analytics

Machine learning & statistical models

Linux development

Azure & AWS cloud

Tools

Databricks

Jupyter

Git

Job description

GlobalLogic is seeking a data analytics professional to join the Vehicle Propulsion and Energy Data Analytics team. You will analyze high voltage battery data, build Python data pipelines, and create visuals to inform developers and designers.

You will perform statistical analyses, develop ML models, and present results through dashboards. Collaboration and clean, scalable Python code are essential in a Linux/cloud environment.