Coen S.
About Coen S.
Coen S. is a Senior Manager of Data Science at Sia Partners in Amsterdam, where he has worked since 2021. He has extensive experience in data science, having previously held positions at BigData Republic, SparkOptimus, and Nationale Postcode Loterij, among others.
Work at Sia Partners
Coen S. has been employed at Sia Partners since 2021, currently holding the position of Senior Manager Data Science. In this role, he is responsible for overseeing data science initiatives and leading a team in Amsterdam, Noord-Holland, Nederland. Prior to his current position, he served as Manager Data Science at Sia Partners from 2020 to 2021, contributing to the firm's data-driven projects.
Previous Experience in Data Science
Before joining Sia Partners, Coen S. worked at BigData Republic as a Senior Data Scientist and Consultant from 2016 to 2019. He also held the position of Lead Data Scientist and Digital Strategy Consultant at SparkOptimus from 2019 to 2020. His earlier experience includes a role as a Data Scientist at Nationale Postcode Loterij from 2015 to 2016 and as a Medical Data Analyst/Modeller at Academisch Medisch Centrum (AMC) from 2014 to 2015.
Education and Expertise
Coen S. holds a Master of Science (MSc) in Financial Econometrics from Universiteit van Amsterdam, where he studied from 2013 to 2015. He also earned a Bachelor of Science (BSc) in Geneeskunde from the same university from 2010 to 2013. Additionally, he completed another Bachelor of Science (BSc) in Econometrics and Quantitative Economics from 2009 to 2013, further solidifying his expertise in quantitative analysis.
Leadership and Team Development
Coen S. has demonstrated leadership in the field of data science by successfully growing a data science team from inception to over 20 members across two countries within three years. This experience highlights his capability in managing teams and driving data science initiatives in various sectors.
Functional Expertise Across Sectors
Coen S. provides functional expertise in multiple sectors, including retail, marketing, industrials, transport, energy, and human resources. His diverse experience allows him to apply data science methodologies effectively across different industries, enhancing organizational decision-making and strategy.