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Data Scientist



Data Science
Posted on Monday, August 28, 2023

🌍Do you want to revolutionise how we buy clothes in a more accessible, personalised and sustainable way?

🦸‍♂️🦸‍♀️ Do you want to develop your talent in a TOP Startup and collaborate with the best technology professionals?

💻 Would you like to work 100% remotely, and organize your schedule according to your needs in an excellent technical team, where you will develop functionalities, Clean Code, SOLID, DDD and hexagonal architectures?

Our purpose

From Lookiero we are driving the change of online personalised shopping, making it more accessible to everyone. Our mission is to empower thousands of customers, inspire them and help them discover their full potential to succeed in their daily lives.

Thanks to technology, Data and Artificial Intelligence, we have an extraordinary opportunity to deliver a unique shopping experience tailored to each individual.

Since our launch in 2016, we have grown rapidly to become Europe's leading online personal shopping platform with a presence in 10 European countries and more than 600 employees and collaborators of 27 nationalities.

What will be your challenge? (Key accountabilities)

  • As Senior Data Scientist you will be responsible for delivering machine learning models supporting our digital products, services and operations, e.g., recommender systems, lifetime value prediction, demand forecasting, etc..
  • You will be accountable for the Machine Learning Models full life cycle, from definition, experimentation and evaluation to development, deployment and iteration.
  • You will collaborate actively in establishing data science technical standards and quality processes in the models you build.
  • You will collaborate with the Product Manager, the Tech Lead, and the Business stakeholders to prioritize and work in an agile way.
  • Ship fast and often, measuring the impact using a robust experimentation framework.
  • As a data owner, you will need to be able to connect business problems with model solutions.
  • You will need to be able to visualize your analysis results clearly and unambiguously.
  • Ability to analyze key metrics and business impacts.

What will make you succeed? (Skills, know-how and experience)

  • To feel comfortable in the project, you should ideally have at least 3 years of real experience as a Data Scientist working on product-oriented projects and productizing models; from inception to deployment.
  • Able to develop product ready data models and pipelines using Python and Spark technologies.
  • Experience using MlFlow ecosystem or other data models CI/CD technologies.
  • Experience using platforms such as Databricks, Dataiku, AWS Sagemaker, etc. is welcome.
  • You have a clear vision of the steps of a ML project and you can share it with others.
  • You want to work in a multidisciplinary team and profiles: internal and external team members, stakeholders, providers.
  • You should have knowledge in one or more of the following areas: supervised and unsupervised learning, deep learning, recommender systems, statistical inference, causal inference, time series analysis, decision theory, mathematical optimisation.
  • You must have a good level of English, as we are an international company.

In addition, we would especially like to see…👀

  • You would be a top candidate if you have experience on Recommender Systems, using Python, Spark and MlFlow.

What will we bring to you?

👫 We are one team. With a culture of true collaboration and support, you will find that everyone is always up to help you solve your challenges and have a friendly chat. Good vibes reign!

💼 Your impact will be tangible - and we empower people in the “how”. Working in a startup, you will see the impact of your voice, ideas and work very clearly on our business. You will be encouraged (and required) to share your opinions (of course, in a well-argumented way!). We also believe in giving freedom on how to get to pre-agreed OKRs.

💻 We obsess about product-led growth. We believe our product should offer superior value vs alternatives to our customers and you will thrive on customer feedback for inspiration to develop our roadmap.

We are true fans of clean code, technical quality and hex, DDD, SOLID architectures.

🤩 Coached through professional development. Your line managers will work with you on a personal development plan that respects your own career goals and ambitions. Moreover, you will work with many inspiring colleagues who can mentor you in your journey.

🌍 100% remote and flexible working hours. If working from Bilbao is too far away for you, that's OK! We support remote working and flexible hours so that you can have the balance you want with your personal life.

📚 English classes and training budget: We believe in training as a tool to evolve as a professional, to get the best out of you and to be always up to date!

How do we like to do things?

We think big and act fast.

We own our decisions and drive results.

We say things the way they are.

We are a team.

Anything is possible for us.

What will the selection process be like?

1- Initial interview with the Talent Team.

2- Technical assessment/ case study.

3- Feedback.

4- Technical interview with the Hiring Manager.

5- Last but not least, the final stage is the Offer.


🥇 Ranked on LinkedIn Top Startups 2022.

👧 4 million registered female users in 10 countries.

🤝 +60o employees and collaborators

🏢 3 offices: Bilbao (HQ), París and Berlín.

⛰️🥾 We are committed to Remote Culture and work-life balance.

If you want to be a key player in our team, see the impact of your work and are excited to learn more about us and the position, APPLY.

Disclaimer: The data controller of your personal data is Lookiero Style, S.L. with tax identification number B-95810826. Your personal data will be collected and processed according to all applicable regulations and specifically to GDPR 2016/679. Your personal data will be collected for the purpose of evaluating your application for the selection process and will be kept for the terms established by law. We remind you that you can exercise your rights of access, rectification, deletion, limitation of processing and portability by writing to We also inform you that your data will not be subject to automated individual decisions or transfers to countries outside the EEA. For more information you can consult our privacy policy.