Principal Engineer II - Data Science

Location: Plano, Texas, United States; based at the hirify.global Motor North America Headquarters. The role requires existing authorization to work in the United States and does not offer visa or employment-based immigration sponsorship.

Company

A global automotive company developing mobility solutions and digital innovations for Supply Chain operations.

What you will do

• Define technical approaches for Supply Chain data science and AI products built on AWS, Databricks, and Azure.
• Lead architecture, design, modeling, product, and technical decisions across analytics, forecasting, optimization, machine learning, and AI workloads.
• Guide the full data science lifecycle from discovery and experimentation through deployment, monitoring, and operational support.
• Mentor data scientists, machine learning engineers, technical leads, and engineering managers, and directly lead technical work when needed.
• Partner with product, engineering, architecture, platform, operations, and Supply Chain stakeholders on spend analysis, supplier risk, demand forecasting, scenario planning, document intelligence, and AI-enabled decision support.
• Establish MLOps, responsible AI, governance, observability, reliability, delivery, and AI-assisted development standards across teams.

Requirements

• 8+ years designing and delivering complex enterprise data science, machine learning, analytics, or software solutions, including large-scale transformation initiatives.
• 5+ years of deep experience with cloud-native data science and machine learning architecture on AWS, Databricks, and Azure, distributed compute, modern integration patterns, and scalable product design.
• 5+ years delivering production data science solutions with Python, SQL, PySpark, Databricks, Apache Spark, MLflow, AWS SageMaker or Bedrock, and modern MLOps and platform-engineering practices.
• Experience shaping technical approaches, influencing across multiple teams, and partnering with engineering, product, architecture, and business stakeholders.
• Ability to balance technical excellence, delivery outcomes, AI-enabled delivery, responsible AI, and cost optimization in a complex enterprise environment.
• Experience using AI as an assistant in data science work and raising that capability across a team while maintaining quality, security, validation, and review standards.
• Experience solving ambiguous problems through root-cause analysis and understanding the Supply Chain business problem before selecting a model or technical solution.
• Experience leading or coordinating multiple data science, machine learning, analytics, or software development teams, mentoring senior technical staff, influencing without authority, and managing dependencies across cross-functional stakeholders.
• Expertise in statistics, machine learning, forecasting, optimization, experimentation, natural language processing, feature engineering, model serving, retrieval-augmented generation, AI-agent workflows, data governance, security, observability, reliability, and operational excellence.
• Excellent communication skills, including the ability to explain data science strategy, model tradeoffs, and delivery status to technical and non-technical audiences.

Nice to have

• Experience in globally distributed, high-performing teams and asynchronous delivery environments.
• Experience with Supply Chain, manufacturing, logistics, procurement, supplier development, or fulfillment platforms at enterprise scale.
• AWS or Databricks certifications, including AWS Machine Learning Specialty, Solutions Architect, or Data Analytics Specialty.
• SAFe or other agile delivery certifications.
• Experience developing analytical tooling, building production enterprise solutions with LLMs, retrieval-augmented generation, or AI agents, and introducing emerging data science or AI technology from evaluation and pilot through enterprise adoption.

Culture & Benefits

• Collaborative, respectful, flexible, and inclusive work environment focused on teamwork and accountability.
• Professional growth and development programs, including tuition reimbursement.
• Comprehensive health care and wellness plans, paid holidays, and paid time off.
• 401(k) savings plan with company match and an annual retirement contribution, where applicable.
• Team member vehicle purchase discount and lease vehicle program, where applicable.
• Relocation assistance, tax-advantaged accounts, and family support services, where applicable.

Hiring process

• Interview process details are provided by the recruiting team.