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Open nowPosted 17 days ago

Junior Data Scientist

EURES job mobility portal110,373 open roles

Where
Zuidwest-Gelderland, Netherlands
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Your applicationOpen nowJunior Data ScientistEURES job mobility portal · Zuidwest-Gelderland, Netherlands
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  5. 33.7%30 days
This job: posted 17 days ago

The posting

NL Junior Data Scientist - GPO Onze inzet Jouw talent Junior Data Scientist - GPO Locatie Bombay, State of Mahārāshtra, India Publicatiedatum 11 september 2026 Job ID 23004 Our Opening and Your Responsibilities Essential Duties and Responsibilities • Support the Global Pricing team in their mandate to understand and optimize commercial performance across all products, services, and geographies • Inventory, then assess, internal data practices and tools used by the group with the intention of improving: efficiency (doing more in less time), accuracy (higher confidence results), and flexibility (leverage existing data assets more fully to drive more business insights to internal stakeholders). • Develop new, and optimize existing, predictive analytics and machine learning models. • Interact with other data specialists across the company in different functions to harmonize best practices and gain access to larger pool of available data. • Mentor and train members of Global Pricing in current "state of the art" data practices and techniques. • Be able, willing, and eager to show quantifiable results. • Other duties may be assigned. What You Need to Succeed Education, Experience & Skills • Bachelor's degree required (master's preferred) in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering, Finance, Operations Research, or a related quantitative discipline. • 1-3 years of experience in Data Science, Analytics, Pricing Analytics, Business Analytics, or a related field. • Experience working with large structured and unstructured datasets using SQL, Python, R, or similar analytical tools. • Strong proficiency in Python and common data science libraries (Pandas, NumPy, Scikit-learn). • Knowledge of statistical analysis, predictive modeling, machine learning, and model evaluation techniques. • Experience with data preparation, cleansing, transformation, and feature engineeri...

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