Calibration Process Data Science Intern (8 months/40 hours per week)
Core
8-month internship developing data science solutions for automotive powertrain problems using advanced analytics and machine learning.
Role type
Data Science Intern (Automotive)
Builds
Predictive models, anomaly detection systems, and quality improvement tools for automotive powertrains.
Domain
Automotive / Powertrain Engineering
Deliverable
production ML models
Required skills
Python, Machine Learning algorithms, Statistical methods, Data visualization, Data preprocessing, Feature engineering
Preferred skills
Automotive hobby or experience, Engine/vehicle knowledge, Additional programming languages
Technologies
Python, Machine Learning frameworks
Responsibilities
Collect and analyze large datasets to identify patterns, Develop and implement ML models for business challenges, Build predictive models for forecasting and optimization, Discover patterns and correlations in data, Collaborate with cross-functional teams on data-driven solutions, Document methodologies and present findings to stakeholders
Seniority
Intern