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Job summary
A global automotive company is seeking a Data Scientist in Auburn Hills, Michigan. The candidate will develop advanced data use cases in the Supply Chain domain, leveraging a diverse ecosystem. The role requires strong programming skills in Python and SQL, and the ability to analyze large data sets for trends. Preferred candidates will have a Master's in Data Science, with experience in machine learning and familiarity with big data frameworks like Spark and Databricks. This position offers a collaborative, international work environment.
Qualifications
5 years of relevant experience in ICT or Supply Chain.
Knowledge of advanced statistical techniques including regression and statistical tests.
Ability to work proactively in a team.
Responsibilities
Merge large, complex data sets to meet business requirements.
Analyze information to discover trends and patterns.
Build predictive models and machine-learning algorithms.
Skills
Data analysis
Machine learning
Programming in Python
SQL
Statistical analysis
Education
Master in Data Science / Computer Science
Tools
Spark
Databricks
Snowflake
Palantir Foundry
Microsoft PowerBI
PyTorch
TensorFlow
Job description
A global automotive company is seeking a Data Scientist in Auburn Hills, Michigan. The candidate will develop advanced data use cases in the Supply Chain domain, leveraging a diverse ecosystem. The role requires strong programming skills in Python and SQL, and the ability to analyze large data sets for trends. Preferred candidates will have a Master's in Data Science, with experience in machine learning and familiarity with big data frameworks like Spark and Databricks. This position offers a collaborative, international work environment.