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WISE

Senior Marketing Scientist (IC2)

Posted Yesterday
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Hybrid
London, Greater London, England
Senior level
Hybrid
London, Greater London, England
Senior level
In this role, the Senior Marketing Scientist will enhance measurement frameworks to assess marketing performance, design and analyze incrementality tests, collaborate with data science to improve marketing mix models, and provide actionable insights derived from large datasets to optimize marketing strategies.
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Company Description


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.
As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission.

Job Description

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 what we can do to accelerate this. 

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 drive marketing effectiveness across all channels.

Here’s how you’ll be contributing:

  • Enhance and implement measurement frameworks that assess full funnel marketing performance across all channels, to ensure data driven strategies to accelerate growth. Some examples on how you will do this are:

  • Design, implement and analyse incrementality tests to measure the true impact of marketing activity across the funnel. You’ll help marketing understand the true impact of ATL activities such as TV, OOH/DOOH, and radio as well as direct response activities such as Facebook campaigns.

  • Collaborate with Data Science providing your input on how to improve our marketing mix models.

  • Provide recommendations to help marketing teams optimise and maximise their strategies.

  • Build data models for our measurement infrastructure.

Additionally, you will:

  • Contribute to OKR definition;

  • Analyse large datasets, identity patterns and build insights from them;

  • Create data visualisations to communicate insights to stakeholders, providing actionable recommendations.

  • In this end to end role, you will work closely with cross-functional teams, including, marketing, data science, analytics, finance and engineering to deliver on your projects. 

  • This role will give you the opportunity to:

  • Be part of our mission to make money without borders!

  • Play a key role in contributing to the growth of the company by enhancing the effectiveness of marketing efforts.

  • Collaborate with diverse teams such as marketing, analytics, data science, finance and engineering.

Qualifications:

  • Strong background in statistics and marketing.

  • Experience in a similar marketing science / data science role.

  • Experience designing quasi-experiments and implementing causal inference methodologies.

  • Experience building or working with attribution models and marketing mix models.

  • Strong analytical and problem-solving skills.

  • Ability to tell a story with data and provide actionable insights.

  • Advanced SQL and Python/R skills, and can work with complex data models.

  • Experience with data visualisation tools (Looker, Superset, etc.).

  •  
  • Work with an extensive dataset of over 16 million customers.

  • Work with cutting-edge methodologies and a modern data stack including dbt and Looker.

Additional Information

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Top Skills

Python
R
SQL

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