• Partner with other data scientists, analytics engineers, and business stakeholders to generate actionable insights that inform paid media strategy and execution • Contribute to the development and enhancement of marketing attribution models (e.g., MTA, MMM, LTV), working closely with stakeholders to define MMM inputs, establish modeling constraints, validate findings, generate marginal ROAS curves, and translate insights into actionable budget scenario planning. • Design and implement experiments and statistical models to evaluate incrementality, lift, and media effectiveness, including delivering high-profile experimentation readouts to senior stakeholders. • Build and maintain data pipelines and dashboards that enable data-informed financial decisions and optimize ROAS and customer LTV • Translate ambiguous business problems into structured analytical approaches and deliver high-impact solutions independently • Write production-quality code (Python, SQL, etc.) to manipulate and analyze large-scale datasets • Communicate clear, data-driven recommendations to both technical and non-technical partners

• Leading the development and implementation of clinical data management strategies to optimize data collection, analysis, and reporting. • Collaborating with cross-functional teams to ensure the accurate integration of data science techniques into clinical trial designs. • Overseeing the analysis of clinical data to provide actionable insights that inform study decisions and outcomes. • Providing strategic guidance on data governance, quality control, and compliance with regulatory requirements. • Establishing partnerships with key stakeholders to leverage the latest advancements in data science and technology in clinical research.

• Leads the development and optimization of Alcoa’s digital EHS systems and data governance to ensure accurate reporting, compliance, and actionable insights • Drives integration of global technologies, KPI dashboards, and analytics to enhance decision-making, operational efficiency, and sustainability performance • Manage digital EHS systems (Cority, Power BI, CDS, ChemAlert), including design, implementation, and continuous improvement • Oversee HelpDesk operations to ensure timely support and effective issue resolution for EHS digital systems • Develop and monitor KPIs and dashboards to track leading and lagging indicators • Analyze performance data and drive corrective actions, identifying trends and improvement opportunities • Ensure compliance and reporting, including internal and external requirements, Board updates, and alignment with ISO 14001 • Promote digital integration, adoption, and governance, fostering global collaboration, maintaining data integrity, delivering user training, and aligning with industry best practices

• Develop and improve data‑driven models for forecasting, optimization, and operational insights • Analyze large‑scale sensor, process, and operational datasets to identify trends, risks, and improvement opportunities • Build and validate ML models for prediction, anomaly detection, and risk assessment • Create scalable data‑science pipelines and collaborate closely with the team • Translate business needs into analytical solutions and present insights to stakeholders • Ensure models are production‑ready, monitored, and continuously improved