MRM- Senior Analyst, Data Science & Analytics

This senior data science role develops predictive models and advanced analytics to support investment decisions and business strategy. The analyst will work with large datasets, build machine learning models, and communicate insights to stakeholders.

This Senior Data Scientist leads modeling research for measurement capabilities across impact.com's partnership marketing ecosystem, focusing on attribution, identity resolution, and tracking quality. The role involves designing incrementality experiments, owning pipelines for end-to-end measurement, and serving as the technical counterpart for external identity and measurement partners, requiring 5+ years of experience with production-grade pipeline building, A/B testing, and fluency in Python/SQL, with nice-to-have experience in graph databases and privacy-preserving identity techniques.

This role involves analyzing large datasets to derive insights for media measurement and audience analytics. The analyst will build reports, perform statistical analysis, and collaborate with data engineering to improve data quality. Requires strong SQL skills and experience with data visualization tools.

This senior consultant role delivers advanced analytics and data science solutions to clients, designing models, interpreting data, and providing strategic recommendations to solve business problems.

This senior consultant role focuses on designing and implementing AI solutions for clients. The role involves building AI models, integrating them into business processes, and providing strategic guidance on AI adoption.

This consultant role focuses on data science and analytics, applying statistical models and machine learning to solve business problems. The consultant will analyze complex datasets, build predictive models, and present insights to stakeholders.

This role is a senior data engineer responsible for building and maintaining data pipelines. The engineer will design ETL processes, optimize data storage, and ensure data quality. Requires strong data engineering skills and experience with big data technologies.