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The AI powered virtual colleague for marketers

Data Scientist

£42k – £55k • 0.2% – 1.0%
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We are a seed stage startup that has built Aiden, a B2B virtual colleague who helps marketers make better decisions on their digital ad spend.
We’ve essentially taught a computer program to do those things, that a marketing analyst would typically do, this includes:

- Performing complex queries on vast amounts of marketing data using only natural language.
- Detecting costly anomalies such as overspend and creative saturation
- Make complex Data Science accessible for a wide variety of users, through both natural language and interactive web interfaces.

We are looking for passionate data scientist to assume a key role on our engineering and data science team.

We are located in central London (UK) and we don't accept remote work at present.

Cultural fit

We are growing fast but we are a small, nimble team. People in our teams gravitate to whatever interests them. It means you will likely do many different things - you need to be prepared to have to switch from backend development to machine learning related work in a single week. It makes every day exciting and unique - and it’s the best way to learn and grow! If technical curiosity and enthusiasm to move around the stack feels like your thing, we’d love to hear from you. We want people who believe in the product and vision of the team, and are looking for a sense of ownership over the product.

What will you be expected to do?

Today’s marketing is driven by data. As an early data scientist at Aiden, you will be developing the algorithms that allow Aiden to understand and act upon the huge amounts of data that marketers are overwhelmed with. Your algorithms will be responsible for saving millions of dollars of unoptimized ad spend at some of the biggest companies around.

Do you have what it takes for the role?

- BSc or greater in Computer Science, Mathematics, Statistics or the Sciences.
- Fluent in Python
- Experience working in real world production data science systems. They need to be able to do everything including implementing data pipelines, data normalization, analysis, reporting and implementation of data science / machine learning solutions.
- Very strong foundation in statistics.
- Experience with classical machine learning methods: i.e. SVMs, HMMs, Feature Engineering, Clustering Algorithms.
- Experience in NLP is a bonus.

Meet your team

People you would work with in this role

Ling Zhang

Avatar for Ling Zhang
Machine learning + full stack + android developer. Software Engineer @ Aiden.ai. EF8 in London. Previously Palantir and FB.

Lea Berthelot

Avatar for Lea Berthelot
Works @Aiden.ai, helping to build the first AI-powered virtual colleague for marketers. Worked at Krux/Salesforce and 55. Studied @Escp Europe Business School.
Product maker - Entrepreneur - Ex @Apple product manager

Marie Outtier

Avatar for Marie Outtier
Founder @Aiden.ai

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