Data Science Manager - MMM/Econometrician

5 days ago

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Twilio

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Millions of developers around the world have used Twilio to unlock the magic of communications to improve any human experience.Twilio has democratized communications channels like voice, text, chat, video, and email by virtualizing the world’s communications infrastructure through APIs that are simple enough for any developer to use, yet robust enough to power the world’s most demanding applications.By making communications a part of every software developer’s toolkit, Twilio is enabling innovators across every industry — from emerging leaders to the world’s largest organizations — to reinvent how companies engage with their customers.Founded in 2008, Twilio has over 5,000 employees in 26 offices in 17 countries and counting, with headquarters in San Francisco and other offices in Atlanta, Bangalore, Berlin, Bogotá, Denver, Dublin, Paris, Prague, Hong Kong, Irvine, London, Madrid, Munich, Malmö, Mountain View, Redwood City, New York City, São Paulo, Sydney, Melbourne, Singapore, Tallinn, and Tokyo.

telecommunications • API • cloud communications • SaaS • telephony

5001 - 10000 employees

📋 Description

• Join the team as our next Data Science Manager, dedicated to elevating our Marketing Strategy with Media Mix Modelling. • Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences. • We are seeking a Data Science Manager to lead our Media Mix Modeling (MMM) efforts within the global marketing organization. • This role is highly visible and will play a crucial part in shaping our media investment strategy, optimizing our marketing budget, and driving business growth. • If you are an expert in MMM, proficient in Python and SQL, and experienced with tools like Meta’s Robyn and Google’s Meridian, this role is for you.

🎯 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.

🏖️ Benefits

• Competitive pay • Generous time-off • Ample parental and wellness leave • Healthcare • Retirement savings program • Much more