Senior Data Scientist w/ full level of English at ...

Are you ready to join a fast-paced company that builds Artificial Intelligence end-to-end products?

Our client it’s a start-up created in 2020 based in Munich, Madrid, Barcelona and Prague headed by Data scientists, Machine Learning Engineers and Developers.

We are looking for Senior Data Scientist to be a key in the development of features of AI products.

Tasks

• Acknowledge the business requirements, design an Machine Learning solution and decide which is the technology to utilize in each part of the pipeline.
• Guide a small team of data scientists towards the development of a feature for the application.
• Make sure coding best practices in the development and mentor junior data scientists in coding standard
• Validate and approve Pull Requests
• Make sure of the Quality of the deliverables of your own and others
• Interact with other functions and agree data exchange protocols (DevOps, Front End, Database, backend, …)
• Decide strategies for data purposes,
• Take the lead towards AI laboratory performing discovery tasks and developing AI products
  
  

Requirements

• More than 4 years of experience as Data Scientist.
• Background in data science consulting or in product development.
• Experience working with Python, R, SQL.
• Experience with supervised-unsupervised-deep learning (ML methodologies)
• Experience with leading projects or teams and product development.
• It's a plus: APIs, AWS Lambda, Step functions.
• It's a plus: Master's in Data Science or Machine Learning.
• It's a plus: experience with AWS environment.
  
  

Benefits

• Great salary package (fixed + bonus)
• Health insurance
• Flexible working hours with free time management within the projects
• Beautiful office in Madrid available to you
• Hybrid work mode
• Fun and agile work environment
• Internationally diverse team
  
  

Our recruitment process

• Step 1: Interview with our Tech recruiter to get to know you better
• Step 2: 25 min test (math, logic and data scientists related questions)
• Step 3: Get-to-know with a Data Scientist from the company
• Step 4: Case study (depends on the seniority) or tech interview directly
• Step 5: Conversation with the CEO