Data Scientist - Customer Understanding
Data Scientist - Customer Understanding
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Job Description
Data Scientist Marketing
Were looking for a Data Scientist to join our growing Marketing Team in London. This role is a unique opportunity to have an impact on Wises mission grow as a Data Scientist and help save people money.
Your mission:
Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hardearned money with the worlds first platform to offer true multicurrency banking. Your mission is to help make people aware of Wise as a solution for crossborder money needs.
Heres how youll be contributing to Marketing
You will help the Marketing tribe find the biggest opportunities for growth
You will do this by developing predictive models to calculate Customer Lifetime Value (LTV) aiding in the prioritization of marketing efforts and resource allocation.
You will model customer behaviour data and product usage so we understand which audiences to target and how
You will also use causal models to measure the incremental effect that CRM and Invite campaigns have on business metrics. You will use causal inference to decide which campaigns should be delivered to each user.
You will help us understand in what growth activity to invest (Marketing Mix Models)
You will work closely with Data Analysts and you will help them understand and use models that you build (LTV or MMM models)
Your average day will include building new models maintaining models used by everyone in the marketing tribe evaluating new ideas and communicating what models can tell us about how we do marketing
This role will give you the opportunity to:
Have a direct impact You will closely partner with every marketing team within both Organic and Paid Acquisition and help millions of people and businesses to learn about how Wise can help them
Work autonomously we believe people are most empowered when they can act autonomously. So rather than telling you what to do youll work with your team to create a vision of your own. Of course you can always gather feedback from smart curious people across Wise but youll have the freedom to make your own calls.
Be part of a diverse team You will work in a team of Data scientists Analysts and Marketeers
Be part of our mission to make money without borders the new normal
Qualifications :
About you:
You are familiar with lifetime value (LTV) modelling and econometrics/marketing mix modelling
You have experience with Bayesian approaches to machine learning as well as with using neural networks ideally PyTorch
You have a good understanding of statistics in particular Bayesian reasoning and can estimate how accurate your results are but also know when to stop analysing and deliver results
You have a good understanding of causal inference concepts and have some experience with machine learning models for causal inference.
You are familiar with a range of model types and know when and why to use gradient boosting neural networks good old linear regression or a blend of these
You have expert knowledge of Python and are able to make and justify design decisions in your Python code; you can throw together a REST service or a UI if need be. Youve used external data pulled via APIs before
You understand fundamental technologies such as Kafka and Docker and dont think twice about bringing up a new engine in dockercompose to have a play
You are able to take ownership of a project and see it through from end to end with past experience in doing so
You are datadriven with a structural and pedantic approach. You need to be able to prioritise the value you can add and manage your time effectively.
You see a bigger picture of business processes and can cut through vagueness to define precisely where and how a model would fit into our stack and what value it would add.
You are comfortable with visualising and communicating data to various audiences you easily articulate and present your ideas.
Additional Information :
Insight into life at Wise as an Analyst/Data Scientist
Analytics team career map
- Analytics days at Wise
For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were 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 its like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
