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Data scientist

StyleSage 13578

StyleSage - Madrid, Madrid 28001 España


Sueldo: 35.000 - 50.000 eur bruto/año

2018-10-29 13:10:55



StyleSage is a data analytics platform designed for the fashion industry, built on machine learning technology. We capture real-time e-commerce and social media data to help brands identify and develop the right trends, build out competitive product assortments, and price and promote according to the market. We collect, clean, analyze millions of ecommerce products in the fashion segment and deliver insights and predictions on those. We are looking for a driven, smart, creative, and curious data scientist to join our product team in Madrid, Spain.


  • Are you interested in the latest trends and developments in machine learning?

  • Do you want to build machine learning systems to tackle real-world problems?

  • Do you love to crunch and to analyze large amounts of image and text data to detect interesting stuff?

  • Do you like to be intellectually challenged and are you eager to explore and learn new things?


Then we want to hear from you!


Your role:

Your primary focus will be in applying state of the art approaches to develop, deploy and maintain machine learning products and features. As part of the entire team, you will collaborate with our international frontend, backend and business teams located across New York and Madrid. You’ll be involved in a lot of interesting problems, working with millions of ecommerce products and applying machine learning to text, images, time series and many other data sources, both structured and unstructured, using the coolest and latest algorithms from the area. As we are still a small company, you will get to see all other areas of the business and have a real chance to be part of building the company.


Please understand that as a startup we are not able to sponsor Visas or work permits for the EU.


You can apply at:https://stylesage.co/about/careers/data-scientist/


Your skills:

  • Background in AI, ML or statistics. Solid knowledge of theoretical concepts of common machine learning methods and algorithms

  • Proven hands-on experience building and deploying machine learning systems

  • High level in Python programming language

  • Ability to analyze and get insights from structured and unstructured datasets

  • Solid understanding of model tuning and evaluation techniques

  • Familiarity with data reduction and imputation techniques

  • Knowledge of your machine learning tools (e.g. scikit-learn, pandas, numpy)

  • Knowledge of deep learning approaches and experience with the frameworks: TensorFlow, Keras, PyTorch,...

  • Ideally, proficient in several data science areas (time series, computer vision, nlp, recommender systems,...)

  • At least an intermediate level in English, both written and spoken, live in (or willing to relocate to) Madrid and enjoy working in an international team


Desiderable skills:

  • Experience in creation of high-quality dataset and benchmarks

  • Familiarity with version control (preferably Git)

  • Experience in Django

  • Experience with SQL databases


What we offer:

  • Salary range: 35k€ - 50k€

  • Friendly collaborative teams and enjoyable working environment

  • Occasional remote work

  • Monday Bananas. Every week, a team member prepares a training talk for the rest of the company, related with a new technology or any other thing that could be interesting.

  • Continuous learning. There is budget for books, courses, events... Your professional growth is very important for us.

  • Talks and meetups. We are regular speakers at data science venues. Also, our cofounders encourage us to give talks and trainings in events, using working hours to prepare them. Of course, all your spends are on our side.

  • Annual retreat. We try to have a one time per year retreat for all the company, including US and Spain teams.

  • Regular company events. Dinners, beers, other activities... We try to have regular company events and not always because we have something to celebrate.

  • Free fruit and coffee.


django git python SQL

Publicado por: Robert Figiel