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Junior Data Scientist
Albatross AI

  • London, United Kingdom
  • Full-time
  • Remote
  • No Salary Information Available
Posted 3 days ago

Albatross AI, recognized for its groundbreaking work in AI-driven personalization, seeks a Junior Data Scientist. The company, backed by substantial funding, is dedicated to enhancing user engagement through advanced recommendation platforms. The role offers an innovative environment focused on continuous learning, product development, and significant customer impact.

In this role you can expect to have the responsibilities:

  • Analyze extensive customer data to discover insights for personalized experiences.
  • Develop and sustain ETL processes to ensure data quality for machine learning workflows.
  • Design and execute feature engineering techniques to improve model performance.
  • Support the training of machine learning models using current tools.
  • Translate customer use cases into machine learning problems.
  • Collaborate with senior scientists and cross-functional teams on ML pipeline development.

This role comes with the following benefits:

  • Mentorship and growth opportunities in data science and AI.
  • Opportunity to contribute to the development of advanced AI systems.
  • Collaborative and innovative work environment.

This role requires you to have:

  • Master’s degree in Mathematics, Physics, Statistics, or a related field.
  • Proficiency in at least one programming language, preferably Python.
  • Strong quantitative and analytical skills.
  • Knowledge of ETL processes and data preparation techniques.
  • Strong communication skills.

You would benefit from having:

  • Experience with data analysis libraries like pandas or numpy.
  • Exposure to machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
  • Willingness to learn quickly and adapt in a fast-paced environment.

The content on this page is not written or managed by Alooba. Please reach out to Albatross AI directly for any addtional information regarding this role.

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