Senior Data Scientist

il y a 1 jour


Paris, France Talented International Temps plein

About Us

We are a start-up based in Munich, Madrid and in Barcelona. We were founded in Spring 2020 and two and a half years later we are now already a team of +80 super motivated ML Engineers, data scientists and developers.

Our mission is to build beautiful Artificial Intelligence products. We’re curious, passionate, and relentless in our drive to develop a truly end-to-end product, pushing the boundaries of innovation as far as we can.

**We work in two fronts**: Our product: currently used by +6000 users. Through the use of AI, enables and simplifies the core corporate finance processes (budgeting, resource allocation, what-if,). Our AI laboratories: we develop AI prototypes for our clients as part of their R&D initiatives. Our laboratories are diverse and aim to test state of the art approaches to currently unsolved business challenges

Our data science and ML hub is based in Barcelona and Madrid, we are currently a team of 45 DS & ML engineers working both from our offices or remotely. We are looking for passionate data scientists to join our mission at all the levels of seniority.

In the data science team, we encourage a fun and agile environment. We contribute to the development of the brain of our products. We work in scrum, and we develop our products in our own Python packages powered by open-source ML libraries.

Role

If you have a passion for data and technology and want to join a crew of sharp analytical minds, then this may be the right opportunity for you. As a Senior data scientist, you will get a chance to take part in leading the development of features of our AI products and perform the following tasks:
Qualifications / Experience

4 to 6 years of experience in data science
4 years of experience with data programming/ scripting languages (Python, R, SQL). Including package building, object-oriented programming. Bonus: APIs, AWS Lambda, Step functions,
4 years of experience in machine-learning methodologies (supervised /unsupervised, deep learning) Experience using cloud technologies Experience working with multi-disciplinary teams Experience working with Agile Methodology (Jira, stand ups, sprint planning,)
Experience in project planning
Experience in communicating technically, at a level appropriate for the audience Ability to work in a fast pace and learn quickly (Bonus) Master in Data Science /Machine Learning (Bonus) AWS Cloud experience/ exposure


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