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.

About the Role

The Senior Data Scientist is responsible for leading the design, development, and implementation of advanced data models, machine learning algorithms, and statistical analyses.

Responsibilities

• Develop End-to-End Data Science Projects: Lead data science initiatives from business exploration and model prototyping to deployment and performance monitoring.
• Data Collection and Integration: Collect and integrate data from various sources, including databases, APIs, and cloud platforms, ensuring data quality and integrity.
• Data Cleaning and Preprocessing: Clean, preprocess, and validate datasets to ensure they meet quality standards for analysis.
• Model Development: Design and develop predictive models and AI systems to optimize manufacturing operations, enable predictive maintenance, and improve supply chain logistics.
• Collaboration: Work closely with engineering teams and business stakeholders to ensure that AI/ML solutions are aligned with business objectives and production-ready.
• Communication: Effectively communicate insights to both technical and non-technical audiences through reports, visualizations, and dashboards.
• Continuous Learning: Stay current with emerging trends, tools, and best practices in data science and artificial intelligence, ensuring that the organization remains on the cutting edge of technology.

Qualifications

• Education: Master’s degree in Computer Science, Statistics, Data Science, Engineering, or a related field (Ph.D. preferred).
• Work Experience: Minimum 5 years of hands-on experience in data science or a related field, with expertise in machine learning, statistical analysis, and model deployment.

Required Skills

• Strong proficiency in Python and SQL.
• Advanced experience with machine learning libraries and frameworks.
• Strong knowledge of statistical analysis, machine learning techniques, and experimental design.
• Hands-on experience with data wrangling and model development.
• Knowledge of cloud platforms and model deployment in different infrastructures.
• Excellent problem-solving, communication, and presentation skills.
• Ability to work collaboratively with diverse teams to achieve business goals.

• Travel Requirements: Occasional travel may be required for business needs, approximately 15%.