Data Scientist (Machine Learning)

TL;DR

Data Scientist (Machine Learning): Developing and implementing machine learning models for various use-cases with an accent on statistical analysis and data representation. Focus on collaborating with stakeholders to deploy ML solutions and improve product quality.

Location: Hybrid (3 days in the office, 2 days remote)

Company

One of the top gambling companies in the world.

What you will do

• Collaborate with business and technical stakeholders to select appropriate ML solutions.
• Design and develop ML models for recommender systems, fraud detection, and chat text analysis.
• Work with data engineers to choose datasets and representation methods.
• Research and implement ML algorithms and tools.
• Train, test, and deploy ML models to production.
• Use existing ML libraries and frameworks.

Requirements

• University degree in a numerical field.
• At least 3 years of experience in Data Science.
• Proficient in Python and familiar with ML frameworks.
• Experience with SQL and Big Data tools.
• Highly proficient in spoken and written English.