Minimum 7 years of professional experience as a Data Scientist or in a related role. At least 2 years of experience leading or managing a team of data professionals. Demonstrated experience in mentoring and coaching junior and mid-level data scientists. Proficiency in Python or R, with demonstrated experience implementing ML pipelines and frameworks. Advanced SQL skills, with experience working on large-scale, relational and/or distributed datasets. Experience with data visualization tools such as Tableau or Power BI. Proven hands-on experience with performing statistical analysis, predictive modeling and data mining on large and complex datasets. Hands-on expertise in AI, machine learning, and natural language processing (NLP) techniques, including model development, tuning, and validation preferred. Strong problem-solving skills. Effective collaborator with experience working independently in remote team environments. Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related quantitative discipline.