DataFramed #72 Building High Performing Data Teams with Syafri Bahar, VP of Data Science at Gojek
Oct 4, 2021
Syafri Bahar, VP of Data Science at Gojek, shares his expertise in building high-performing data teams for one of Indonesia's leading super apps. He discusses key characteristics that drive effective teams, the impact of COVID-19 on data operations, and the evolving role of data science in enhancing user experiences. Syafri emphasizes the importance of data literacy, governance, and empowering team members through decentralized decision-making, while also highlighting the necessity for data scientists to hone their math and machine learning skills in an automated world.
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Syafri's Background and Gojek's Mission
- Syafri Bahar, VP of Data Science at Gojek, has a background in financial modeling.
- He transitioned to Gojek, a super app used by 1 in 4 Indonesians, overseeing data science, business science, and business intelligence.
Data Science at Gojek
- Data science is central to Gojek's diverse product offerings.
- Key areas include a matchmaking engine, search and recommendation systems, and a promo allocation engine called Gobstopper.
Hallmarks of High-Performing Data Teams
- High-performing data teams need empowerment, including executive sponsorship and freedom to experiment.
- Measurable results and decentralized decision-making are also crucial for success.