#72 Building High Performing Data Teams with Syafri Bahar, VP of Data Science at Gojek

In this episode of DataFramed, we speak with Syafri Bahar, VP of Data Science at Gojek about building high-performing data teams, and how data science is central to Gojek’s success.  Throughout the episode, Syafri discusses his background, the hallmarks of a high-performance data team, how he measures the ROI on data activities, the skills needed in every successful data team, what is the best organizational model for data mature organizations, how Covid-19 affected Gojek’s data teams, his thoughts on data literacy and governance, future trends in data science and AI, and why data scientists should sharpen their maths and machine learning skills in an age of increasing automation.  Relevant links from the interview: We’d love your feedback! Let us know which topics you’d like us to cover and what you think of DataFramed by answering this 30-second surveyGojek’s Data Blog

Om Podcasten

DataFramed is a podcast for data & analytics leaders looking to scale data science throughout an organization by equipping them with the insights to drive value from data science and create a data-driven culture. Each episode will feature a conversation with various data science and analytics leaders who are transforming their organizations and are at the forefront of the data revolution. Whether you’re just getting started in your data career, or you’re a data leader looking to scale data-driven decisions in your organization, you’ve found the right community. Welcome to DataFramed!