Project Overview:

Our client is a start-up based in Munich, Madrid & Barcelona. Our client is innovative and operates in AI and corporations' digitalization by empowering businesses with AI data processing. Their goal is to provide businesses with meaningful AI. The company's approach to the E2E AI product applies to all areas of business.

The Client works in two fronts:

  • Product: currently used by +5000 users. Through the use of AI, enables and simplifies the core corporate finance processes (budgeting, resource allocation, what-if, …).
  • AI laboratories: the team develops AI prototypes for the clients as part of their R&D initiatives. AI laboratories are diverse and aim to test state-of-the-art approaches to currently unsolved business challenges.
Рекрутерка
Вікторія Назарова
Responsibilities:

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:

  • Understand a business requirement and design an ML approach to solve the challenge effectively;
  • Define which is the technology to use in each part of the pipeline (SQL, Python, EC2, AWS Lambda, crontab, …);
  • Lead a small team of data scientists towards the development of a feature for the application;
  • Own the delivery of a business requirement;
  • Ensure coding best practices in the development and mentor junior data scientists in coding standards;
  • Validate and approve Pull Requests;
  • Ensure the Quality of the deliverables of your own and others;
  • Interact with other functions and agree data exchange protocols (DevOps, Front End, Database, backend, …);
  • Define strategies for the use of data and how data use interacts with data design;
  • Lead an AI laboratory performing discovery tasks and developing AI products.
Requirements:
  • 5+ years of experience in data science;
  • >4 years experience with data programming/ scripting languages (Python, R, SQL). Including package building, object-oriented programming. Bonus: APIs, AWS Lambda, Step functions;
  • >4 years 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;
  • Excellent problem-solving and analytical skills;
  • Strong communication and collaboration skills;
  • Experience in communicating technically, at a level appropriate for the audience;
  • Ability to work in a fast pace and learn quickly;
  • Ability to lead a team of data scientists;
  • Good level of English;
  • (Bonus) Master in Data Science /Machine Learning;
  • (Bonus) AWS Cloud experience/ exposure;
  • (Bonus) experience in ETL/ELT development, Data Warehousing.

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