Gojek jobs - Decision Scientist

About The Role

If you’re looking to be a part of a dynamic, highly-analytical team who enjoys working with lots of data, look no further. As our Senior Decision Scientist for GoFood, you will be in charge of mining insights from the sea of data, building data products, and designing experiments with the ability to see the real-time impact of your contribution. You will get to work along side a talented group of business leads and fellow analysts. Your work will impact how Gojek shape strategies around millions of customers across South East Asia.

What You Will Do

• Be a thought partner to product and business; analyze and monitor business metrics along with product and business stakeholders and provide causal analysis and inference for explaining variations in product metrics; construct design and infer data driven experiments
• Identify new opportunities to improve the experience using data; build reporting and dashboards and automate and create datamarts that will be useful for product and business; drive scalable data solutions when required and design and develop various machine learning solutions for improving various solutions in the GoFood team
• Take ownership of the data science models or rules end-to-end - from data collection to model building to monitoring the model in production; collaborate and partner with other teams; Be a sounding board to data solutions developed in other teams for GoFood
• Design and analyze experiments, 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 and 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 4 years of experience in statistical analysis and building machine learning models for product applications
• Expertise in framing experiments using causal inference and know when to use a bayesian framework, data visualization, experimental analysis and running estimates
• Able to work with time series data with advanced time series methods
• Experience in building robust machine learning models
• Ability to understand business concerns and formulate them as technical problems that can be solved using data and math/stats/ML
• Familiarity with essential data science libraries, including Pandas, Numpy, Scipy, Scikit-Learn
• Experience working with cross-functional teams including product, design, engineering, mobile to deliver product outcomes using data science Experience in deploying batch models