Senior Data Science Engineer in Madrid

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Job Description

DIVE is an AI platform for deep video analysis and personalization. Our workspace encourages fresh ideas, creative thinking and rewards visionary, passionate individuals. We pride ourselves on a culture that allows you to share, collaborate and be yourself in a highly dynamic, international and inclusive workplace. We are seeking an accomplished Senior Data Science Engineer. In this role, you’ll be embedded inside a vibrant team of data scientists. You Will be expected to help conceive, code, and deploy data science models at scale as a product, using the latest industry tools. Important skills include data wrangling, engineering end to end processes with AI/ML foundations, developing models, and testing metrics. You can expect to...

You are expected to:


  • Define and optimize data sources to make them “machine learning ready”.
  • Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
  • Integrate data and algorithmic processes to create products based on data
  • Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
  • Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
  • Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders, to work on an MVP approach.

The expertise we’re looking for:

  • BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
  • Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
  • Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
  • Understand machine learning principles (training, validation, etc.)
  • Knowledge of data query and data processing tools (i.e. SQL)
  • Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
  • Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
  • Mathematics fundamentals: linear algebra, calculus, probability
  • Interest in reading academic papers and trying to implement state-of-the-art experimental systems
  • Experience using deep learning architectures

  • Experience deploying highly scalable software supporting millions or more users
  • Experience with GPU acceleration (i.e. CUDA and cuDNN)
  • Experience with integrating applications and platforms with cloud technologies (i.e. AWS and Azure)

What DIVE offers:

·       Offices with great atmosphere, young talented team members eager to do something big. Prime office location in the heart of the city of Madrid

·       Flexible Payment Plan

·       Become part of a growing start-up with global aspirations

·       Flexibility in the choice of vacation days aligned with team members

·       A variety of breakfast snacks with coffee as well as fresh fruit to regain strength

·       Although our focus is on our product sometimes throughout the year we sign up to participate in activities such as marathons and solidary races

·       And because all is not work, we organize “Divebeers” events, lunch outings to discover new restaurants in the city centre and other fun activities



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