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Data Scientist (remote)

Remote:

Full Remote

Work from:

Greece, Belgium

Offer summary

Qualifications:

BSc/MSc in AI, ML, CS, Engineering, Statistics or similar, Strong technical background with large dataset experience, Experience with Python, SQL, and ML models.

Key responsabilities:

Extract, clean, transform data across various databases
Maintain, test, enhance ML models
Co-develop prototypes and guidelines for productization
Conduct A/B/n testing

iTechScope Human Resources, Staffing & Recruiting SME https://www.itechscope.com/

11 - 50 Employees

See more iTechScope offers

Job description

On behalf of our client, a leading Software Company specialized in machine learning-based data visualization, loyalty automation, and revenue optimization solutions that enable enterprises to leverage descriptive analytics, we are currently looking for a Data Scientist to join their ambitious team in Athens (fully remote).

The role offers broad exposure to machine learning, big data analytics and predictive analytics. You will be part of a highly innovative team who builds hybrid, proprietary algorithms to offer data science solutions. The ideal candidate will have a strong technical background and experience in solving tough problems that use large datasets.

Your day-to-day

Extract, clean, transform data residing in various databases and in different forms
Maintain, test, cross-validate, enhance existing ML models
Co-develop fast prototypes of ML {clustering, classification, regression} and econometric models
Co-develop with or communicate to data engineering guidelines for productization of aforementioned research models
Conduct A/B/n testing

Requirements

BSc/MSc in Artificial Intelligence, Machine Learning, Computer Science, Engineering, Statistics or similar
Excellent command of Python used in Data Science projects
Working knowledge of SQL
Working knowledge of big data frameworks and NoSQL databases (nice to have)
Working knowledge of OO e.g. C++/Java (nice to have)
Experience with recommender systems (nice to have)

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