Senior Engineer - Data Science (AI)

Location: Plano, Texas, United States; based at hirify.global Motor North America Headquarters

Company

hirify.global is an automotive and mobility company developing innovative solutions and transforming Supply Chain operations through digital technologies.

What you will do

• Implement and maintain data science and AI solutions aligned with architectural decisions, responsible AI practices, and enterprise standards.
• Design reproducible data preparation, feature-engineering, modeling, and scoring workflows using Python, SQL, Databricks, and approved cloud services.
• Develop and optimize statistical, machine learning, forecasting, optimization, anomaly detection, natural language processing, and generative AI solutions for Supply Chain decision support.
• Collaborate with Business Product Owners and cross-functional fusion teams to refine requirements, success measures, acceptance criteria, and product integrations.
• Apply data quality, model validation, evaluation, explainability, error analysis, monitoring, security, privacy, performance, and scalability practices.
• Prototype emerging technologies, troubleshoot production issues, and work directly with planners, logistics, buyers, supplier development, and operations teams.

Requirements

• 5+ years of hands-on experience in data science, machine learning, statistical analysis, data integration, and end-to-end solutions handling large data volumes for Supply Chain, business analytics, or operational products.
• 3+ years of hands-on experience with Python, SQL, data preparation, model development, and reproducible analytical workflows.
• Experience with supervised and unsupervised learning, time-series forecasting, anomaly detection, feature engineering, model evaluation, and data science libraries such as pandas, NumPy, scikit-learn, PySpark, PyTorch, or TensorFlow.
• Practical experience with cloud data and machine learning technologies including AWS, Apache Spark, Databricks, AWS Redshift, and S3, plus orchestration tools such as Apache Airflow or AWS Step Functions.
• Experience with technical design, model and application development, code reviews, code quality, monitoring data and application health, and resolving root causes of technical issues.
• Experience packaging and deploying analytical or machine learning capabilities through batch pipelines, APIs, dashboards, or workflow applications with appropriate security and release practices.
• Strong understanding of DevOps, MLOps, CI/CD, agile methodologies, Git, functional and non-functional requirements, security, privacy, performance, scalability, explainability, and responsible AI.
• Excellent communication and cross-functional collaboration skills, including the ability to work in fusion teams and move across Supply Chain areas as priorities change.
• Demonstrated use of AI tools as assistants in data science workflows while maintaining sound judgment, quality, and review standards; curiosity and willingness to experiment with emerging technologies.

Nice to have

• Experience with optimization, simulation, operations research, or scenario planning for cost, sourcing, supplier, inventory, logistics, or capacity decisions.
• Experience building AI/ML data pipelines, feature-engineering workflows, scalable data products, and solutions using structured or unstructured data.
• Familiarity with generative AI, prompt engineering, model evaluation, AI governance, responsible AI, LLMs, retrieval-augmented generation, AI agents, tool calling, and agentic pipelines.
• Experience using GitHub Copilot in secure development workflows, transforming large-scale applications, or modernizing analytical products.
• AWS Certified Machine Learning Engineer, AWS Certified Data Engineer, Databricks, or equivalent cloud certifications.
• Supply Chain, manufacturing, logistics, procurement, supplier development, planning, or supplier risk experience.

Culture & Benefits

• Full-time work environment based on teamwork, flexibility, respect, and collaboration.
• 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.
• Vehicle purchase and lease programs, tax-advantaged accounts, family support referral services, and relocation assistance where applicable.

Hiring process

• Applicants must already have the right to work in the United States and must not require hirify.global immigration support or employment-based visa sponsorship now or in the future.
• Accommodation or application assistance can be requested through talent.acquisition@hirify.global.com.