Junior Data Scientist

Albatross AI

Albatross AI pioneers in enhancing user engagement through AI-driven personalization, striving to improve customer experiences and loyalty. Having secured substantial funding, they are focused on developing a cutting-edge recommendation platform. The team prides itself on innovation, learning, and a commitment to excellence.

In this role you can expect to have the responsibilities:

• Analyze substantial datasets to extract insights and patterns for personalized user experiences.
• Develop and maintain ETL processes to ensure data readiness for machine learning workflows.
• Design feature engineering techniques to improve model performance and personalization.
• Assist in training machine learning models using current tools and methodologies.
• Translate customer use cases into actionable machine learning problems.
• Collaborate with senior scientists and cross-functional teams in developing ML pipelines.

This role comes with the following benefits:

• Access to mentorship and opportunities for professional growth.
• Engagement in work that significantly impacts AI system development.
• A collaborative environment fostering innovation and career development.

This role requires you to have:

• Master’s degree in Mathematics, Physics, Statistics, or related field.
• Proficiency in Python or other programming languages.
• Strong quantitative and analytical abilities.
• Understanding of ETL processes and data preparation.
• Growth mindset and eagerness to learn.
• Excellent communication skills.

You would benefit from having:

• Experience with data analysis libraries like pandas and numpy.
• Familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.

The role is ideal for recent graduates with a strong quantitative background and passion for data science and machine learning.