A hands-on data scientist is known for seeking solutions in unconventional ways. Wide and deep knowledge of areas ranging through deep learning, machine learning, statistical modeling, probability theory, time series analysis and natural language processing (NLP).
Able to leverage solid expertise in big data, machine learning, statistics, marketing, and finance, in designing and applying quantitative research techniques to translate data, with meaningful analysis and insights, into winning strategies.
Possess excellent communication, judgment, problem-solving, and decision-making skills. Ability to set priorities, multitask, work under pressure, and meet planned deadlines.