The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. You should have in-depth knowledge of statistical and data science methodology and tools. Youll join a tight-knit group that values continuous improvement and solving challenging technical and product problems in an emerging space. Plus, we like to have fun along the way.
Responsibilities:
Creating innovative Machine Learning solutions for big data-sparse setups.
End-to-end research and development of scalable Data Science solutions for our use-case challenges.
Maintenance and improvement, if needed, of existing models, including accuracy and performance assessment in production.
Collaborate with Data Engineers to tackle scale-up challenges.
Requirements:
BA / B.Sc degree in Statistics / Machine Learning / Mathematics.
Strong background in statistics and deep understanding of statistical models.
Proven experience and knowledge in Machine Learning methodology.
Proven experience in Python.
Up-to-date with the latest trends and best practices in machine learning and statistical modeling.
Excellent communication skills and the ability to think creatively and innovatively.
Quick learner and a team player.
BA / B.Sc degree in Statistics / Machine Learning / Mathematics.
Strong background in statistics and deep understanding of statistical models.
Proven experience and knowledge in Machine Learning methodology.
Proven experience in Python.
Up-to-date with the latest trends and best practices in machine learning and statistical modeling.
Excellent communication skills and the ability to think creatively and innovatively.
Quick learner and a team player.
This position is open to all candidates.
