Daniel Kost Stephenson
About Daniel Kost Stephenson
Daniel Kost Stephenson is a Data Scientist at TELUS in Montreal, Canada, with a background in Mechanical Engineering and Data Science.
Title
Daniel Kost Stephenson currently holds the title of Data Scientist at TELUS in the Montreal, Canada Area. He joined TELUS in October 2019.
Current Company
Daniel Kost Stephenson is currently employed by TELUS as a Data Scientist. At TELUS, he has worked on data science projects that contribute to the company's strategic initiatives. His role involves utilizing data science techniques to provide insights and solve complex business problems.
Previous Positions
Before joining TELUS, Daniel Kost Stephenson held several key positions in data science and analytics. He served as Principal, Data Science & Analytics at CKM Analytix in the Greater New York City Area for 9 months in 2019. Prior to this, he worked as a Data Scientist at CKM Analytix from 2017 to 2018 for one year. Additionally, he completed a six-month internship at the United Nations as a Business Analytics and Intelligence Intern in 2016. Earlier in his career, he worked at Rolls-Royce as a Commodity Team Intern for three months in Montreal, Canada in 2014.
Education and Expertise
Daniel Kost Stephenson has a strong educational background in data science and engineering. He earned a Master’s Degree in Data Science from Columbia University in the City of New York, where he studied from 2015 to 2016. He holds an Engineer’s Degree in Mechanical Engineering from McGill University, which he completed between 2010 and 2014. Additionally, he attained a Diploma of College Studies in Pure and Applied Science from Marianopolis College from 2008 to 2010. His early education was completed at Selwyn House School, where he achieved his High School diploma from 1996 to 2008.
Industry Experience
Daniel Kost Stephenson brings diverse industry experience to his role at TELUS. He has experience in business analytics and intelligence from his internship at the United Nations. At Rolls-Royce, he gained hands-on industry experience as a Commodity Team Intern in Montreal. These roles have equipped him with a practical understanding of data analytics and business intelligence, which he applies in his data science projects at TELUS.