Data Science Manager (MMM/Econometrician)

Twilio; United Kingdom; Remote; GBP 50,000 - 90,000

Job description

Data Science Manager (MMM/Econometrician)

Remote - United Kingdom

Who we are

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant, diverse team making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

See yourself at Twilio

Join the team as our next Data Science Manager, dedicated to elevating our Marketing Strategy with Media Mix Modelling.

About the job

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.

We are looking for someone who is both hands-on with data science and strategic in approach. You will partner with marketing, sales, finance, and product teams to generate actionable insights, enhance media performance, and improve marketing ROI.

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.

Responsibilities

In this role, you’ll:

• 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.

Qualifications

Required:

• 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.

Preferred:

• 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.

Location

This role will be based remotely in United Kingdom or Ireland

What We Offer

There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!

Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Twilio is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [e-mail].