"If you interrogate the data long enough, it will confess…"
We're on the verge of becoming one of the most successful companies, reaching break-even in less than a year, by truly caring for companies' data. Are you ready to help them achieve this and much greater feats?
CQISense is a customer-focused data company, providing outstanding data insights through correlation of companies' dimensions. Conway's law is eventually happening in every company, so they stood up and ¡surprise! breaking silos is profitable and a fun problem to solve. "Big data is dead, long live big data." They've tried and just a few succeeded. Data is useless unless focus and knowledge take place. Companies are growing faster than their ability to understand customers' processes. This is where their product shines, proving that customer care is not a department but a whole company goal.
They know why data is hard; it is all about context. After 15+ years in the Telco field, founders have become experts in translating complex problems to clear processes, and they are ready to productionize it. The aim is simple: create the most comprehensive and detailed data aggregation company in the world, and they will need you to make it real. You will know all the existing data pipelines by hand and create insights for an ever-growing data pond, lake, sea, or galaxy to distill meaning and customers' journeys from it.
You will design, implement, and maintain optimization models over the current data pipelines. Provide guidance and lead others in solving data integrations between ML, ETL, cloud storage, and all the pieces involving stream and pipelining information in real-time. Work with a focused fast-paced team, integrating your knowledge and expertise to the needs and skills of the whole team. They believe that great people make great products, so they are obsessed with hiring great people first. As you can expect, they build things iteratively, focusing on functional delivery while keeping impressive operational delivery times and best practices; they love what they do, and it permeates in what they create.
A process cannot be understood by stopping it. Understanding must move with the flow of the process, must join it and flow with it. Frank Herbert (First Law of Mentat), Dune (1984) They love to understand the why's and hows, and for it, you will end up knowing by hand customers' journeys, services, and issues to foresee operational bottlenecks and prevent them. They like to keep things simple; you're aware of how hard it is to synthesize simplicity from deep complex structures, right?
They put into production some intense computational models, and they will need you to have a one-of-a-kind analytical mind. Are you ready for the challenge? They have real flexible working hours, around 9:00 to 18:00 (CEST - Madrid), with one hour for lunch up to you. Some people have different needs, like taking kids from school, and they're committed to having a great work-life balance for everybody. Jornada laboralFlexible
PresencialMadrid
Remoto100%Actually… Wherever you want to! This position is remote-friendly; they just wanted to know you first, so be ready to work a couple of months in their amazing offices in Majadahonda. Not all places have direct views of a forest, and they take some pride in it! If it's unfeasible, they will work around it, don't worry. After the initial onboarding, you can be wherever you like, as long as you're able to attend when the founders come to share great news (which is usually one week per month).
Right now, they're 6+ amazing peers, with a really open and horizontal structure. These are some of your future coworkers:
Iván Marbán (Founder and Head of Product): He is the brain of the company, and he always keeps all the team on track by providing the spicy data.Saúl Tavira (Head of Advanced Analytics): He is the Explorer of their team; he will foresee hidden paths and solutions even before they exist. Bonus point, you can't be bored around him.Álvaro Parra (Lead Data Engineer): He is one of their pillars in the company; he's always aware of the bottlenecks and problems around mixing data. Simplicity wins it all.Besides, they have some incredible founders (just ask for Samu or Max) and a side company that helps them with everything they're not able to reach.
You have proven experience dealing with high volume data with SQL.You have built numerical models to optimally solve abstract problems. Linear programming, simulators, numerical methods, and productionized and maintained recommendation algorithms.Bachelor's Degree in Math, Physics, Statistics, or Engineering fields with high statistical academic content.You have at least 3 years of professional experience as a Data Scientist or in a related field.Proven knowledge of Python, notebooks, and specialized data science libraries like Numpy, Pandas, Scikit-Learn, Keras, PyTorch, TensorFlow or similar.You are familiar with data analytics platforms on GCP, Azure, or Watson.Open to trying new technologies and programming; they love to develop vertically, so creating their own web views is their daily basis, and you should not be afraid of doing it!Strong communication skills. The right candidate can thrive in an environment of asynchronous conversation and translate functional requirements into numerically optimizable problems.Strong organizational and time-management skills with the ability to succeed in a fast-paced environment with changing requirements and priorities.Highly motivated, independent, and deeply passionate about solving complex problems and translating them to the final customers.Fluency in English.This gives extra points:
You have experience with MLOps and some tools like Polyaxon.You have strong SQL skills and knowledge and familiarity with time-series analytics, and a strong understanding of it.Strong understanding of Data Orchestration tools (i.e., Apache Airflow).Yes, as long as you have an EU or UK passport. For administrative reasons, we won't bore you.
The truth of the matter is that they really need to fill the position like YESTERDAY, so they will try to be as agile as possible. Having said this, we are talking about a very important and critical position for the company, so the process has several phases:
Cultural fit & Tech interview: coffee talk with Saúl, (Head of Advanced Analytics). It's possible that this one will be the only interview in the process. It's a long talk, and they have a lot of experience to evaluate great candidates with some tech questions.Meet with some members of the team (optional).
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