• Collaborate closely with Data Engineers to implement strategic engineering proof of concepts and contribute to technology strategy and engineering roadmaps • Collaborate with clients and internal partners throughout the organization to identify and execute upon opportunities for demonstrating marketing data to drive business solutions • Audit existing datasets for accuracy, reliability and consistency • Advise senior team members to identify data models and algorithms to apply to unique client problems • Increase and optimize user experiences, revenue generation, ad targeting and other business outcomes using predictive modeling and other advanced analysis techniques • Coordinate with internal and client data engineering teams to implement models and supervise outcomes • Support digital analytics implementations with broad understanding of tag management, HTML and JavaScript on websites • Develop and test applications (visualization, routing data, cleaning data, access to data, interacting with data) for analytics pipelines • Other duties as assigned

• Desarrollar y aplicar modelos de machine learning y técnicas de inteligencia artificial para resolver problemas de negocio. • Realizar análisis exploratorio de datos, feature engineering y evaluación de modelos con metodologías rigurosas. • Participar en la validación de modelos mediante técnicas como cross-validation, análisis de bias/variance y testing de robustez. • Implementar y mantener pipelines de machine learning (entrenamiento, inferencia y monitorización) bajo estándares de calidad de software. • Contribuir a la explicabilidad de modelos y documentación en entornos regulados. • Colaborar con equipos multidisciplinares y comunicar resultados a perfiles técnicos y de negocio.

• Own end-to-end scalable machine learning models for risk assessment, forecasting, anomaly detection, customer clustering, natural language processing and other key finance initiatives. • Apply large language models (LLMs) to create Gen-AI applications leveraging such as chatbots and intelligent agents to support & streamline finance operations. • Partner with the strategic finance teams to enhance their financial forecasting methods and support data-driven decision-making. • Analyze complex datasets of structured & unstructured data using advanced analytics to generate actionable insights; communicate findings through impactful reports and presentations. • Establish best practices for data science, opportunity to mentor junior analysts and contribute to the team's professional growth. • Collaborate with stakeholders, data scientists and MLEs across various business groups to develop impactful solutions.

• Lead the development of predictive models, advanced analytics, and automation solutions that improve forecasting, retention, financial planning, and operational performance • Help mentor and develop other data scientists, fostering collaboration, innovation, and delivery excellence • Partner with business leaders across the enterprise to define priorities, shape data-driven strategies, and align analytics initiatives with organizational objectives • Work with enterprise data from Snowflake and other Data Lake solutions to ensure data is effectively extracted, transformed, and applied to key business initiatives • Drive the creation of impactful dashboards and visualizations in Tableau, ensuring insights are accessible and actionable for executives and functional leaders • Present findings, trends, and predictive model outcomes to senior stakeholders, translating complex analytics into clear recommendations • Champion data governance, quality, and compliance standards in analytics and reporting • Stay current with trends in AI, ML, and business analytics, identifying opportunities for innovation and automation across the organization