Senior Marketing Scientist

Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their life easier and save them money.

We are looking for a highly analytical and innovative Senior Marketing Scientist to join our Marketing Science team. Our team focuses on developing and implementing channel-agnostic measurement frameworks to assess what drives growth at Wise and how we can accelerate it. In this high-impact role, you will contribute to projects that integrate best-in-class marketing mix models, attribution, and incrementality testing to deliver actionable insights that enhance marketing effectiveness across all channels.

Here’s how you’ll be contributing:

• Enhance and implement measurement frameworks to assess full-funnel marketing performance across all channels, ensuring data-driven strategies to accelerate growth.
• Design, implement, and analyze incrementality tests to measure the true impact of marketing activities across the funnel, including ATL activities like TV, OOH/DOOH, radio, and direct response campaigns such as Facebook.
• Collaborate with Data Science teams to improve marketing mix models.
• Provide recommendations to optimize marketing strategies.
• Build data models for measurement infrastructure.

Additionally, you will:

• Contribute to OKR setting;
• Analyze large datasets, identify patterns, and generate insights;
• Create data visualizations to communicate insights and provide actionable recommendations.

This role involves working closely with cross-functional teams, including marketing, data science, analytics, finance, and engineering, to deliver projects.

Opportunities include:

• Being part of our mission to make money without borders;
• Contributing to company growth by enhancing marketing effectiveness;
• Collaborating with diverse teams across functions.

Qualifications:

• Strong background in statistics and marketing;
• Experience in a marketing science or data science role;
• Experience designing quasi-experiments and causal inference methodologies;
• Experience with attribution models and marketing mix models;
• Strong analytical and problem-solving skills;
• Ability to tell stories with data and provide actionable insights;
• Advanced SQL and Python/R skills, capable of working with complex data models;
• Experience with data visualization tools (Looker, Superset, etc.);
• Experience working with extensive datasets (over 16 million customers);
• Familiarity with modern data stacks including dbt and Looker.

At Wise, we believe teams are strongest when diverse, equitable, and inclusive. We celebrate our international team’s differences. Inclusive teams help us live our values and ensure every team member feels respected, empowered, and able to grow.