Description

You will partner with the Design Cost and Complexity Analytics team to deliver advanced analytics and machine learning solutions that optimize vehicle cost and complexity.

Responsibilities

• Engage with stakeholders to translate complex business requirements into data science solutions.
• Design and implement predictive and prescriptive models using machine learning algorithms.
• Apply data mining, statistical modeling, and optimization to uncover actionable trends.
• Develop data pipelines for ingestion, augmentation, and analysis, ensuring scalability.
• Deliver product backlog items aligned with strategic objectives and timelines.

Required Skills

• 8+ years of experience in data science, analytics, and machine learning delivering enterprise-scale solutions.
• Expertise in Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
• Strong background in machine learning, predictive analytics, and optimization techniques.
• Solid foundation in mathematics, statistics, and algorithm design.
• Experience with cloud platforms, specifically GCP, and scalable data solutions.
• Proven ability to provide strategic insights to reduce material costs.

Key Skills

Education

Any Graduate