About this role
<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Job Description</b></H2> </div><div><p>The Data Scientist develops advanced analytics, machine learning models, and AI-driven solutions that enable predictive insights and intelligent decision-making across procurement. The role transforms procurement data into analytical capabilities that support sourcing strategies, supplier risk monitoring, spend optimization, and procurement performance management.</p> <p>Working closely with data engineering and analytics product teams, this position designs and deploys analytical models and AI-enabled solutions that leverage procurement data to generate scalable insights. The role also contributes to the development of agent-based AI solutions that automate analytical workflows and enhance procurement intelligence.</p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Main Responsibilities</b></H2> </div><div><ul> <li>Develop predictive models, simulations, and advanced analytics supporting procurement decision-making, supplier risk monitoring, and sourcing strategies</li> <li>Apply statistical analysis and machine learning techniques to identify patterns, risks, and opportunities within procurement datasets such as spend, supplier performance, and inventory information.</li> <li>Design and develop AI-driven analytical solutions, including intelligent agents and multi-agent workflows that automate procurement intelligence activities such as supplier analysis, risk detection, and decision support.</li> <li>Prototype and deploy advanced analytics and AI use cases that enhance procurement insights and strategic decision-making.</li> <li>Collaborate with data engineers to access, structure, and prepare procurement datasets required for analytical modeling and AI applications.</li> <li>Partner with procurement analytics product teams to operationalize models and AI capabilities into dashboards, decision-support tools, and analytical applications.</li> <li>Monitor and continuously improve analytical models and AI solutions to ensure accuracy, reliability, and business relevance.</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Position Challenges</b></H2> </div><div><ul> <li>Translating complex procurement data into analytical models that generate actionable business insights.</li> <li>Developing predictive and AI-driven solutions that remain interpretable and useful for procurement stakeholders.</li> <li>Collaborating effectively across technical teams (data engineering, analytics) and procurement business teams.</li> <li>Identifying high-value opportunities where advanced analytics and AI can improve procurement decision-making.</li> <li>Managing evolving analytical requirements in a rapidly changing digital and AI landscape.</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Qualifications</b></H2> </div><div><p>Languages</p> <ul> <li>English: Advanced.</li> </ul> <p>Academic Background</p> <ul> <li>Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Artificial Intelligence, or related analytical fields.</li> </ul> <p>Areas of Expertise</p> <ul> <li>Experience in data science, full-stack development, machine learning, or advanced analytics roles supporting business decision-making (3-6 y)</li> <li>Experience developing predictive models, statistical analysis, and machine learning applications using large and complex datasets.</li> <li>Experience applying analytics or AI solutions to operational or business decision processes.</li> </ul> <p>Technical Skills</p> <ul> <li>Strong programming skills in Python and experience working with analytical libraries for data science and machine learning.</li> <li>Experience applying machine learning, statistical modeling, and predictive analytics techniques to real-world business problems.</li> <li>Advanced SQL skills for data manipulation and analysis of large transactional datasets.</li> <li>Experience developing AI-enabled analytical solutions, including the use of large language models (LLMs), retrieval-augmented generation (RAG), and AI agents or multi-agent workflows to automate analytical tasks or decision-support processes.</li> <li>Familiarity with modern data platforms and analytics environments (e.g., cloud data warehouses, data lakes, or similar analytical infrastructures).</li> </ul> <p>Soft Skills</p> <ul> <li>Strong analytical thinking and structured problem-solving capabilities.</li> <li>Ability to translate complex analytical outputs into clear insights for business stakeholders.</li> <li>Effective collaboration with both technical teams (data engineering, analytics) and procurement stakeholders</li> <li>Curiosity and experimentation mindset with interest in emerging analytics and AI technologies.</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Internal/External Relations</b></H2> </div><div><p>INTERNAL: </p> <ul type="disc"> <li>Global Procurement Leadership</li> <li>Regional Procurement Organizations</li> <li>Procurement Analytics & Product Teams</li> <li>Enterprise Data Engineering and Data Architecture teams</li> <li>IT / P&IT Data Platform teams</li> </ul> <p>EXTERNAL: </p> <ul type="disc"> <li>Data platform vendors and technology partners</li> <li>Data and analytics consultants supporting enterprise initiatives</li> <li>Mckinsey</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>CEMEX Diversity and Inclusion Statement</b></H2> </div><div><p>At CEMEX, we recognize the diversity of the world in which we live and in which we do business. We respect diversity, we address the inclusion and non-discrimination of any talented person, regardless of gender, physical ability, age, sexual orientation, culture, ethnicity, religion, political affiliation, marital status, pregnancy / maternity / paternity and nationality. We promote a culture of equity for the construction of a sustainable business and the well-being and development of CEMEX employees.</p></div></div></div>