Data Scientist

Candidates must possess a Master's degree in a quantitative discipline or equivalent, with a minimum of 3 years of professional experience. Strong problem-solving skills are essential, including articulating product questions, querying large datasets, and using statistics for recommendations. Excellent verbal and written communication skills are required for effective presentation of analysis results. The role also requires the ability to build positive relationships with stakeholders and work effectively with cross-functional partners. Proficiency in Python, R, or other scripting languages, along with database languages like SQL or data manipulation tools such as Pandas, is necessary. A deep understanding of machine learning algorithms, including deep learning, random forest, gradient boosted trees, and k-means clustering, is crucial, as is strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques like regression or linear models.