We are looking for a Product Data Scientist. Remote.
We are a team of 21 people who develop software for people with a business, economics, biology, engineering or journalism background to enable them to do advanced data analytics without knowing how to write code. Our tool is designed for creative people who find existing products like Excel, Tableau or Power BI too limited .
We allow them to perform analyses that are more "predictive" and "prescriptive" than descriptive. Graphext projects are built to give people with the same power of analysis as if they had studied Maths or Computer Science and know how to write code in Python or R. Currently, Graphext has over 50 different use cases that we have identified so far, from developing new drugs to understanding why some crimes are growing or why the employees of a company are leaving.
Current data science methods demand learning to code in Python or R, something that can take years. They don't guide you either and don't help you discover what methods and techniques are appropriate for different kinds of analysis - data cleaning, enrichment, modelling - in order to solve many business problems. These tools aren't very interactive and, often, you can only work with structured data. They miss all the possibilities we now have to analyze texts and images thanks to AI's latest advancements.
Go and check in our web to see how the product works.
Our Youtube channel, presents more detailed videos introducing you to the product and taking you through some use cases.
We also regularly post projects we do ourselves, with clients and collaborators on our Twitter and Blog.
Graphext started at the beginning of 2014. The two co-founders, Victoriano and Miguel, spent the first years building another product, Contexto, that inspired them to raise money from venture capital (Kfund is our main investor) to build Graphext (2017). To this date, the company has received over 3M euros in funding.
At the same time, we also keep growing our revenue as we sign more and more customers every month.
You will work in our data science team. Our data science team is divided into two: data science engineers and product data scientists. While our data science engineers are focused on writing code to apply machine learning algorithms for the internal workings of the product, product data scientists focus on understanding business problems and design solutions with our available features at Graphext as well as helping the data science engineers develop new features.
This position requires a curiosity about real-world problems, good communication skills and an ability to fully interrogate problems. On top of this, you should have a solid understanding of the whole toolbox available to solve data problems.
At the same time, we also expect our product data scientist to act as our own data scientists to find insights about our own users with all the information we collect about our product usage. We released a freemium version of the product last summer and we already have information about thousands of data analysts which is crucial to interpret to make strategic decisions on sales, marketing, and product.
Leading the data science team is Thomas, who joined Graphext almost 4 years ago. He has a PHD in AI and Adaptive Systems. Beyond his academic experience he also worked for another startup in the UK for 4 years developing physical simulations for adaptive experiences in video games. He is German, but speaks Spanish perfectly. On his side we have Jorge who joined Graphext while he was still a student of Maths and CS, after 3.5 years, he has become a senior data scientist engineer crucial for the core development of our platform.
Mariadel is the other product data scientist of the team, you will work very close to her. She came to Graphext in 2020, weeks before the first lock down. She studied Maths and CS in Granada and did a Master degree at AFI, where she now teaches classes on data science.
Since we are still a relatively small startup - 21 people in total - you will also be very close with the rest of engineers, product manager, marketing and sales. Check out our team page.
Want to know more about our smart data discovery tool?
Ask us for a demo!