Junior Data Scientist (f/m/x)

Hamburg, Germany / Lisbon, Portugal / Partially Remote is Possible

Who we are?

We are ANNEA.ai, a young company based in Hamburg, Germany and in Lisbon, Portugal. We are an international team of engineers, computer scientists, experts in Internet of Things (IoT) and artificial intelligence – with many years of experience, and a strong background in engineering.

Our vision is to save resources for a more sustainable planet. Therefore, we defined our mission to
make machinery more efficient through predictive maintenance. Here we focus primarily on renewable
energy generation.

We offer end-to-end software solutions for automated condition-based predictive
maintenance for renewable energies. Based on profound domain knowledge, advanced machine learning and sophisticated IoT-techniques we predict future problems in the machines to make renewable energy more competitive to conventional energy generation.

Your Responsibilities

  • Work together with Data Engineers on the implementation of the data preparation pipelines
  • Use classical machine learning techniques to create scalable solutions for predictive maintenance and computer vision problems
  • Develop new tools using cutting edge technology focusing on efficiency and automation
  • Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy
  • Coordinate with various technical/functional teams to implement models and monitor results
  • Collaborate with colleagues from science, engineering, and business backgrounds

Your Qualifications

  • Degree (BSc or MSc) in data science, computer science, engineering, mathematics (or comparable

  • 1 year of experience in Data Science

  • Team player mentality & pro-active personality

  • A background in reliability theory and predictive maintenance

  • Fluency in English is a must. Language skills in German, Portuguese and Spanish are a plus

  • Basic knowledge of the Renewable Energy industry

  • Experience in Python (with all basic libraries: at least pandas, scikitLearn)

  • Experience in working with very large data sets and parallel processing (e.g. Spark or Hadoop, …)

  • Very good theoretical & practical knowledge of common machine learning algorithms (basics:
    random forests, boosting algorithms, etc.)

  • Good theoretical & practical knowledge in neural networks, deep learning, and convolutional
    neural networks and their implementation in Python (e.g. Keras, etc.)

  • Good statistical knowledge, hypothesis testing, model evaluation, etc.

  • Cloud computing & cloud architectures – setting up jupyter servers linked to different instances
    on cloud or on premise

If you think you are a good fit, please send us your CV to jobs@annea.ai

ANNEA is a progressively equal opportunity employer. We support and encourage diversity. We are committed to creating the utmost inclusive environment for all.

Contact us

Email: info@annea.ai
Phone: +49 40 22866260

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