Head of Data Science

Skills and Experience

When it comes to data science, having a good understanding of various techniques and algorithms is crucial. Some of the key ones include:

• k-NN
• Naive Bayes
• Random Forests

In addition to these, proficiency in using common data science toolkits, particularly Python, is essential. Furthermore, having experience with querying languages like SQL on big data platforms such as Hadoop and Hive is valuable. Strong applied statistics skills are also important for this role.