Data Scientist

Job ID: 525066

CRH is a leading global diversified building materials group, employing over 75,800 people at more than 3,160 locations in 29 countries.

CRH is the leading building materials company in North America and the world.

We manufacture and distribute a diverse range of superior building materials, products, and solutions, which are used extensively in construction projects of all sizes.

Job Summary

CRH is seeking a Data Scientist to join the Intelligence Digital Products team within the Strategy function.

The team is focused on systematically exploring and understanding the trends that will shape the construction industry, identifying where CRH can create value, and enabling better strategic decisions across the business.

Working with a combination of internal operational data, external market intelligence, and project-based insights, you will help uncover emerging risks and opportunities for CRH and the wider construction sector.

The team uses data, research, and scenario analysis to support fact-based discussions and provide a forward-looking perspective on industry developments.

In this role, you will generate actionable insights through analysis and visualization, supporting multiple Strategy teams and senior leadership.

You will be part of a high-performing, fast-paced environment with a strong emphasis on collaboration, innovation, and professional development.

Job Location

This role is based at our corporate office in the Perimeter area of Atlanta, GA - hybrid work schedule

Job Responsibilities



* Develop clear analytical reports and visualizations to communicate insights from exploratory analysis, trends, and model outputs to business stakeholders


* Support end-to-end ML workflows by contributing to data preparation, feature/label creation, baseline modelling, and evaluation


* Apply reproducible build practices (modular code, version control, documented assumptions, repeatable experiments).


* Contribute to improving efficiency of data and ML processes through practical performance optimization (efficient transformations, scalable data handling, reduced runtime in pipelines).


* Write SQL as needed for data profiling, feature dataset creation, and ETL/ELT validation (quality checks, reconciliations, incremental logic).


* Partner with BI, data engineering, and product teams to translate business questions into data and modelling requirements


* Follow established standards for data integrity, consistency, and security

Job Requirements



* Hands-on experience with machine learning tools, cloud platforms, and data warehousing; Snowflake exposure is a plus


* Strong Python or R skills for advanced analysis (e.g., data wrangling, statistical analysis, modeling) required


* Structure ambiguous questions, define success metrics, and translate analysis/model outputs into clear business decisions


* Produce stakeholder-ready storytelling through strong report design and effective...