Requirements

Expected technologies

Python

SQL

Optional technologies

AWS

Google Cloud Platform

Microsoft Azure

Docker

Kubernetes

Operating system

Linux

Our requirements

Minimum 4-5 years of commercial experience as a Data Scientist or a relevant role

Advanced skills in using Python and SQL

Deep understanding and wide experience of statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

Experience with GCP/AWS/Azure, Docker and Kubernetes is a plus

Knowledge of enterprise business intelligence platforms such as Tableau, Domo

Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

Your responsibilities

• Build, deploy, and maintain statistical and machine learning models and data pipelines.
• Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights.
• Leverage extensive theoretical and practical knowledge of advanced analytic methods and machine learning algorithms.
• Make recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy.
• Collate and analyze data using pre-set tools, methods and formats
• Prepare various data and analytics reports.
• Support interpretation of advanced and predictive analytics data, using specialized software tools and functionalities.