About Amrize

Amrize (NYSE: AMRZ) is North America's leading building solutions company from foundation to rooftop, with $11.7 billion of revenue in 2024. Across more than 1,000 operational sites, our 19,000 teammates partner with the professional builders of North America to advance how we live. Across our Building Materials and Building Envelope businesses, we offer a broad range of advanced building solutions and iconic brands serving customers in all construction markets from infrastructure and commercial to residential as well as from new build to repair and refurbishment. Amrize is listed on the New York Stock Exchange and the SIX Swiss Exchange.

Amrize. Build your ambition.

JOB OVERVIEW

The Senior Data Scientist - ConcreteDirect is responsible for building, deploying, and scaling advanced machine learning (ML) and optimization models on AWS to solve high-impact business problems in supply chain management. This role requires someone with a deep understanding of cloud-based technologies, capable of enhancing existing code and improving model performance.

You’ll work closely with cross-functional teams to identify opportunities, enhance existing cloud-based pipelines, and ensure smooth operation of production models. Additionally, you will contribute to automating KPI reports and support data-driven decision-making across the business.

RESPONSIBILITIES

• Advanced Data Science Models: Apply statistical and machine learning models to supply chain management, with a focus on improving cost-efficiency and customer satisfaction.
• AI & ML Systems: Develop and deploy AI/ML systems for process optimization, such as scheduling problems, and simulate various delivery scenarios.
• Cloud-Based Enhancements: Enhance existing cloud-based data science solutions, implement new ML algorithms, and perform rigorous benchmarking to improve performance.
• AWS Cloud Integration: Work with AWS cloud tools (Lambda, API Gateway, SageMaker, etc.) to develop and deploy scalable AI/ML pipelines.
• Data Visualization: Create interactive dashboards and visualize data to derive actionable business insights and improve workflows.
• KPI Automation: Design, prepare, and automate KPI reports to support strategic decision-making.
• Monitoring & Validation: Write test and validation scripts to monitor cloud performance, data latency, and ensure data output quality.
• Collaboration: Collaborate with product managers, engineering teams, and business stakeholders to align solutions with operational and business goals.
• Documentation: Ensure comprehensive documentation of data processes, modeling strategies, and system designs to facilitate knowledge transfer and system maintainability.
• Continuous Learning: Stay up-to-date with the latest advancements in data science, AI, and cloud technologies to continuously improve the organization's analytical capabilities.

PROFILE

Education:

• Master’s degree in Computer Science, Statistics, Data Science, Engineering, or a related field (Ph.D. preferred).

Work Experience:

• 5+ years of hands-on experience in data science, AI/ML.

Knowledge, Skills and Abilities:

• Strong proficiency in Python and SQL.
• Advanced experience with machine learning libraries.
• Deep knowledge of statistical analysis, machine learning techniques, and optimization methods.
• Experience with AWS technologies (Lambda, API Gateway, SageMaker, Glue, Athena, etc.).
• Experience working on optimization and scheduling (Python libraries preferred).
• Excellent problem-solving, communication, and presentation skills.
• Knowledge of CI/CD practices for data workflows.
• Experience in supply chain management.
• Familiarity with Infrastructure as Code.

Travel Requirements:

• Occasional travel may be required for business needs.