Data Science Manager, Marketplace

Key Skills

Python Programming, SQL, AWS, Apache Kafka, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, XGBoost, R Programming, SPARK Programming, Apache Flink

Job Description

About the Role

Climb on board and fasten your helmet if you're ready to be our next Data Science (Marketplace) Manager. In this role, you will get to mine insights from the sea of data, build data products, and design experiments with the ability to see the real-time impact of your contribution. A talented troop of business leads and fellow analysts will be your companions on this ride. In our humble opinion, the coolest part of this role is how your work will directly impact how the senior leaders at Gojek shape strategies around millions of customers across South East Asia.

What You Will Do

• Be a technical leader for the analytics team within Marketplace Data org
• Overlook technical correctness, execution and stakeholder communications. The role involves 90% hands-on and 10% management responsibilities. Future possibility to grow into a full-time manager is possible. Calibrate performance across the analytics team
• Be a leader in setting best practices for data/model governance and analytics life-cycle. Have a strong customer centric approach to getting things done
• Perform exploratory data analysis using SQL and R/Python and present interesting findings to business stakeholders to drive business and strategic decisions
• Build self-serve data products such as dashboards and tables to reduce time to insights
• Perform advanced analytics when needed (such as building machine learning models using R/Python or data web apps using Shiny/Dash)

What You Will Need

• At least 8 years of practical experience in SQL and R/Python
• Prior experience with applied statistics, experimental design and ML (there will be a technical phone screen to test you on this!)
• Bonus points for prior experience with customer lifetime models, marketplace supply/demand or causal inference methods for campaign effectiveness
• Able to tell a coherent data narrative using visualization tools and able to set best practices in data visualization to convey a product insight through impactful graphs
• Proven ability to recognize business needs and ability to communicate with multiple stakeholders including PMs, business and operations
• Prior experience in project management and stakeholder management experience across business, product and engineering

About the Team

Our Data Science team consists of over 20 Data Scientists.

As Chicken Rice is to the people of Singapore, the Data Science team is to Gojek: providing the nourishment and power to sustain our business from the inside out. Our main responsibility is to build data products for ride-hailing, logistics, food delivery, and payments. How does one achieve this, you may ask? By leveraging on Machine Learning. From selecting the right driver to dispatch, to dynamically setting prices, to forecasting real-world events, to processing the hundreds of millions of orders per month across more than 20 products - all this is driven by Machine Learning. We are working on several projects now, including one about how we can strategically position our driver-partners to improve our customer experience.

As a team, we’re concerned not only with the growth of the company, but each other’s personal and professional growths, too. Along with keeping fit (via badminton and table tennis), our team bonds over our shared love of hiking (Yes, in Singapore!). With WFH becoming more normalised, you best believe we’ve been sharing our favorite ways to prioritise a healthy work-life balance at home (Netflix, anyone?).