Aave Companies is hiring a
Web3 Product Data Scientist

Compensation: $72k - $92k estimated

Location: London, England

Product Data Scientist

London, England /
Engineering /
Full-time
/ Remote

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About us: 

The Aave Companies are a group of software development companies that build open-source, blockchain-based software for the Web3 world. With a mission to reinvent our modern paradigms in the realm of finance, social media and beyond, we are focused on building revolutionary products and protocols that will reinvent the ways we communicate, our financial systems, and our cultural norms. United with one clear goal, the Aave Companies are determined to build a future for users that provide them with better control over their finances, data and social experiences.

Our culture: 

Having cultivated a thriving, collaborative culture, our team is kind, welcoming and passionate about what we are building. We celebrate differences and seek to develop and retain the most talented people from a diverse candidate pool from all over the world. No matter where you are based, no ghost will be left behind and we appreciate every moment we get to work and have fun together.

About the role:

The Product Data Scientist will play a crucial role in helping us understand, interpret and leverage our data. You will partner with teams across our organization, including Engineering, Growth, and Marketing to enable them to answer their data questions and make data-informed decisions. You will be at the forefront of our efforts to drive product growth, user engagement, and overall business success.

Assuming you have eligible working rights and a minimum of 5 +/- hours overlap with your team, you can choose to work remotely or from our London office. 

How you can make an impact:

    • Collaborate with cross-functional teams to understand their data needs and develop analytical solutions to address them
    • Develop and maintain dashboards, reports and other data visualization tools to communicate findings and recommendations to stakeholders
    • Leverage data to provide insights into product usage, user behavior, and key performance indicators
    • Use statistical and machine learning techniques to build predictive models and algorithms
    • Work closely with the engineering team to implement data tracking, ensure data quality, and optimize data pipelines
    • Experiment with new models and techniques to improve our analytics capabilities
    • Advocate for a data-driven culture throughout the organization

Let's connect if:

    • Proven experience as a Data Scientist or similar role
    • Strong knowledge of statistical concepts, machine learning algorithms, and data analysis techniques
    • Strong skills in SQL and Python
    • Familiarity with Dune and on-chain analytics tools is a strong plus
    • Experience with data visualization tools and techniques
    • Familiarity with blockchain technology industry is a plus
    • Exceptional communication skills, with the ability to explain complex data concepts to non-technical stakeholders
Haven’t quite met all the criteria? Let’s not miss out on the chance to speak. Whilst you might not meet every single requirement, you might bring other, more exciting skills to the companies!

What we stand for:

Craft — Seek excellence.
Accountability — One for all. All for one.
Integrity — Be true.
Sisu — Dig deep.
Community — We’re in it together.

Equal opportunities statement: 

The Aave Companies celebrates diversity and views each and every team member as a separate individual with their own unique identity. No matter your race, religion, gender, ethnicity, age, disability, sexual orientation or even the wallet you use, we welcome you at the Aave Companies. As an equal opportunities employer, we take accountability and believe in everyone's potential to build, create and inspire changes. With a mission to build a diverse workforce, we are proud to foster a working environment in which everyone can feel safe and valued for who they are.
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Apply Now:

This job is closed

Compensation: $72k - $92k estimated

Location: London, England

This job is closed

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