Data Science Manager

Summary

Join Twilio as our next Data Science Manager, leading our Media Mix Modeling (MMM) efforts within the global marketing organization. This highly visible role will shape our media investment strategy, optimize our marketing budget, and drive business growth. You will partner with various teams to generate actionable insights and enhance media performance. Expertise in MMM, proficiency in Python and SQL, and experience with tools like Meta’s Robyn and Google’s Meridian are essential. The role involves developing, validating, and maintaining MMMs, conducting advanced statistical analysis, and presenting findings to senior stakeholders. This remote position is based in the United Kingdom or Ireland.

Requirements

• 6+ years of experience in marketing analytics, econometrics, or data science with a strong focus on marketing measurement
• Strong expertise in econometrics and regression modelling techniques with hands-on experience of Meta’s Robyn or Google’s Meridian packages
• Proficiency in Python and SQL for data analysis and modelling
• Proven track record of influencing marketing strategies through data-driven insights
• Solid understanding of digital and traditional media channels and their role in marketing effectiveness
• Strong communication and storytelling skills to translate analytical findings into business impact
• Demonstrated ability to present findings to both technical and non-technical audiences, with experience leading key technical projects

Responsibilities

• Develop, validate, and maintain Media Mix Models (MMM) to measure the effectiveness of various marketing channels, including digital, TV, radio, OOH, and offline media
• Conduct advanced statistical and econometric analysis to quantify marketing effectiveness, forecast the impact of future marketing activities and recommend optimal budget allocations
• Partner with marketing, sales strategy and finance teams to translate model insights into actionable recommendations for campaign planning and budget allocation whilst ensuring insights align with broader business objectives
• Work with engineering teams to build scalable and automated pipelines for data ingestion, model training, and reporting as well as ensuring the availability of clean, structured, and reliable marketing data
• Explore and implement advanced modelling techniques such as Bayesian MMM, hierarchical modelling, and causal inference
• Present findings and insights to senior stakeholders, communicating complex concepts in a clear and actionable way
• Stay up to date with industry trends, emerging MMM methodologies, and data science best practices

Preferred Qualifications

• Experience with Bayesian modeling, causal inference, and advanced statistical techniques
• Prior experience in B2B marketing analytics
• Prior experience in a consulting or marketing agency environment is a plus, demonstrating the ability to apply MMM insights in diverse business contexts

Benefits

• Competitive pay
• Generous time-off
• Ample parental and wellness leave
• Healthcare
• A retirement savings program