Qualifications

• Minimum Bachelor's degree in Mathematics and Natural Sciences or Statistics.
• Understanding of Big Data, Machine Learning, and NLP concepts.
• Able to provide recommendations/solutions for solving business problems using a scientific approach.
• Understanding IT advancements, particularly in the field of Data Science/Machine Learning.
• Proficiency in data processing programming languages, particularly SQL.
• Proficiency in programming languages such as Python or R is preferred.
• Having knowledge of statistics, including statistical tests, distributions, and regression.
• Experience in working with unstructured data from various sources and channels.
• Having knowledge in Machine Learning, data visualization, data wrangling, and proficiency in operating data analytics tools (RapidMiner, KNIME, or similar).
• Strong multitasking and communication skills.