We are looking for a data scientist to join our team. We use our proprietary algorithms, predictive analytics, deep learning and artificial intelligence to make the retail world a better place.
Our current clients are retailers which have 1,250+ stores and 15,000+ products. We process millions of data points every day.
While most of our operations are run from our headquarters in sunny Madrid, we also have teams located in the main markets where we operate, currently Spain, Italy and Russia. English is the company language, but within the team we speak altogether some 16 languages (counting both those of humans and computers).
We want you to be a passionate of data. Data is one of the main assets of our company, so we want to nurture and make the most out of it. Experience in data visualization, data munging and descriptive analytics is a must.
Two of the main uses that we give to our data are around forecasting and pattern recognition. As a consequence, we expect you to bring experience in forecasting techniques such ARIMA, Exponential Smoothing, etc., as well as in Machine and Deep Learning techniques such as Convolutional Neural Networks, Random Forest, SVM, Regression, etc.
You will also need to implement your own models and put them into production. Knowledge and experience on the Python programming language and its data science stack (Pandas, Numpy, Scipy, Seaborn, Matplotlib, Plotly, scikit-learn, statsmodels, etc., ) will be valued. R is also an option, though. We will also appreciate experience in integrating statistical and machine learning models in production environments.
We love our clients, and we love understanding and meeting their needs, so we'd like you to be a business oriented person, with the ability and eagerness to understand complex business requirements and find solutions to cover them.
You are a good teammate, who likes to help but also keep focus on getting things done. We want you to be a curious person and a perpetual learner.
You are fluent in English (other languages, especially Spanish, are a plus) and are interested in working in an international company.
A highly innovative and fast-paced environment. As in any startup, expect to find a team with an interesting mix of business profiles (without the slides), IT geeks and late-night coders, data scientists, and as a fashion tech startup, a few fashion victims.
The satisfaction of delivering something new to the world that will have a strong impact both on retailers’ top line and in customer satisfaction. Contribute to the development of cutting-edge artificial intelligence & machine learning technologies that will build the next generation of retail systems.
The opportunity to work with top client decision-makers in the fashion retail industry and sharpen your business reasoning and interpersonal skills. Learn from peers from top consulting firms and the best global business schools.
Flexibility in remote work and office hours, use of some of the most advanced collaborative tools.
Periodic company get-togethers to meet the rest of the team.
Compensation that includes a fixed+variable salary as well as company equity as we progress towards our Series A and B fundraising rounds.