Marketing Scientist

Zepz

68d•Remote

About The Position

Join Zepz: Breaking Down Borders, Together. Our Meaningful MissionAt Zepz, we're all about breaking down barriers for our customers and our teammates. Our purpose is deeply personal, we provide a lifeline and deliver opportunities to cross-border communities that need it most through cutting edge finance and tech. Zepz is the power behind WorldRemit and Sendwave, driven by the mission to celebrate the incredible impact migrants have, both at home and abroad. We're not just moving money; we're building a world that truly recognizes and supports global connections. Who You'll Be Joining We look for mission-driven builders who thrive in a fast-paced environment connected to a true purpose. We’re an always developing team of experts that enjoy problem solving and bring clarity to tough challenges. At Zepz, we are Relentless Learners, always seeking feedback, and Responsible Owners, treating company resources like your own. We depend on Transparent Communicators who keep the team aligned through open, honest talk. Our Core Commitments — What We Live By Our vibrant and truly diverse culture is built on three core commitments, that guide how we work and interact: Integrity: We always do the right thing. It’s simple, but it’s the foundation of everything we build for our customers and each other. Outcomes: We work for our customers. Their success and prosperity are the results we focus on delivering. Velocity: We are fast! We maintain high energy levels and make smart decisions quickly, keeping us nimble and ahead of the curve. Perks of Joining Our Team We are embarking on an exciting journey to build out our global Marketing analytics capability. Our culture is built on high trust, which empowers colleagues and fosters the high ownership necessary to meet our shared expectations and deliver high performance. As a remote-first company, you have the flexibility to work wherever you feel most focused and productive within your employing country. This freedom comes with wonderful, tailored, location-specific perks designed to support your whole life, not just your work. These benefits include unlimited annual leave, great healthcare, and employee discounts. We want you to thrive and focus entirely on making your biggest impact, and in turn, we expect high ownership and commitment. This is a place where trust and high performance are valued, and we provide the environment and support you need to excel. We prioritize an environment where we openly share ideas, embrace our mistakes, and learn from them—collaboration is key to everything we do! About the role and team Reporting into the Marketing Analytics Science Lead within the Marketing Department, we’re looking for a highly skilled and strategic Marketing Scientist/Analyst to elevate our marketing performance through data-driven insights and advanced analytics. This is an individual contributor (IC) role, ideal for someone who thrives on solving complex problems, collaborating cross-functionally, and driving impact. You’ll be supporting key initiatives around Marketing Mix Modeling (MMM), attribution, and causal inference, helping the business understand the true impact of marketing and optimize our media investments accordingly.

Requirements

Bachelor’s or Master’s degree in Mathematics, Statistics, Economics, Data Science or a related field.
3+ years of experience in marketing analytics or performance marketing measurement.
Expertise in Marketing Mix Modeling, attribution techniques, with demonstrated experience applying these to real-world problems.
Proficiency in SQL and data-visualisation tools.
Proficiency in Python, with demonstrated experience building open-source Marketing Mix Models (Robyn, Meridian, LightweightMMM etc.).
Deep understanding of the marketing funnel and channels.
Strong project management and stakeholder communication skills.
Ability to work independently and lead high-impact projects end-to-end.

Nice To Haves

exposure to AI models and their applications within marketing.

Responsibilities

Development of analytics to evaluate marketing effectiveness and ROI, using MMM, attribution modeling, CLV and experimentation.
Apply causal inference techniques (e.g., difference-in-differences, propensity score matching, uplift modeling) to isolate true marketing impact and support strategic planning.
Automate the training and deployment of updated models, ensuring the output is tested, automated, scalable and documented and checks are in place to identify drift.
Creating ‘insight-ready’ datasets from raw data by building pipelines to automate the cleaning process.
Building and supporting self-serve analytics dashboards.
Supporting the marketing team with campaign analysis, data requirements, training and ad-hoc analysis.
Communicate complex analytical findings to executive stakeholders in a clear and actionable way.