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Data Scientist

A Data Scientist is responsible for contributing to data-driven analysis and development of intelligent systems. This role involves working across key areas such as Machine Learning Algorithms, Statistical Thinking & Modeling, while applying technical knowledge in machine learning, big data (spark/hadoop), statistical modeling, deep learning, data mining.

Data Scientist

What they do

As a key professional in the Data Science & Artificial Intelligence industry, the Data Scientist plays a vital part in the sector's mission: data-driven analysis and development of intelligent systems. Specifically, they focus on overseeing or executing specialized tasks that ensure efficient operations, high-quality outcomes, and adherence to industry standards. Their work directly supports the organization's goals and implementation of best practices.

Specialties

Machine Learning Algorithms

Statistical Thinking & Modeling

Big Data Technologies (Spark, Hadoop)

Data Wrangling & Cleaning

Data Visualization (Tableau, PowerBI)

Data Scientist specialties

Pathways
(education / training)

Master's Degree Or PhD In A Scientific Discipline Is Often Preferred Or Required For Research Roles. Laboratory Experience And Publication Of Research Findings Are Significant Assets.

Connection to the SDGs

Industry, Innovation and Infrastructure

Skills