Description

You will develop and enhance purchasing processes by applying deep learning models and advanced data analysis to solve business challenges.

Responsibilities

• Develop AI-related enhancements for the Purchasing PDO team and manage supplier-focused functional improvements.
• Collect, clean, and preprocess large, complex datasets for modeling and generalization.
• Implement deep learning networks with multi-GPU and multi-node capabilities.
• Collaborate with internal stakeholders to automate purchasing needs within 1-2 week delivery cycles.
• Perform exploratory data analysis, design A/B tests, and monitor model performance in production.
• Build quick proofs-of-concept to validate feasibility alongside IT teams.

Required Skills

• 4+ years of experience as a Data Scientist or in a similar role.
• Proficiency in Python, Java, or R.
• Proven experience implementing solutions using Large Language Models (LLMs) and core Machine Learning techniques.
• Expertise in SQL for database querying and manipulation.
• Experience with data manipulation libraries such as pandas, NumPy, dplyr, or data.table.
• Strong understanding of statistical concepts, including hypothesis testing and experimental design.
• Ability to apply regression, classification, clustering, tree-based, and ensemble methods.
• Experience with data visualization tools like Matplotlib, Seaborn, Plotly, ggplot2, Tableau, or Power BI.
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a quantitative field.

Preferred Skills

• Experience with big data technologies including Spark, Hadoop, or Hive.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Knowledge of automotive supply chain processes and MLOps practices.

Key Skills

Education

Bachelor's or Master's degrees