Work with analysis of large volumes of data to identify insights and support data-driven decisions;
Develop, implement and optimize machine learning models and algorithms using Python;
Take data and analytics solutions to scale using Data and AI services on GCP;
Write efficient SQL queries and perform optimization for data extraction and manipulation;
Collaborate with cross-functional teams to understand business challenges and turn them into analytical solutions;
Design and implement data pipelines to support machine learning processes;
Create clear and concise visualizations and reports for stakeholders;
Stay up to date on trends and emerging technologies in Data Science and Artificial Intelligence;

Proven experience as a Data Scientist or Data Analyst.
Strong knowledge of statistics, mathematics and probability.
Proficiency in Python for data analysis, modeling and machine learning.
Experience with Data and AI services on GCP for model building and deployment.
Strong SQL skills, including query writing and optimization.
Fluent in English (written and spoken).
Creative and problem-solving mindset.
Knowledge of data pipelines for machine learning processes.
Familiarity with microservices architecture and containerization tools such as Docker.

Data Scientist

Key skills