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- You will explore business/ product opportunities, uncover insights, and identify areas for growth.
- You will work with product and engineering teams to design experiments that influence key product decisions.
- You will adapt in-production models for new markets to enhance product rollout.
- You will direct expert teams to launch products/ services and broaden Grab's data capabilities for deeper insights.
- You will develop and test data-driven hypotheses to address key challenges.
- You will create mixed effect and causal inference models to understand interaction effects or suboptimal product configurations.
- You will establish and oversee anomaly detection systems to alert changes or anomalies in product or system metrics.
- You will develop analytics tools to help data teams and other disciplines with debugging, data summarization, and result analysis.
- You will support team members in their professional development, focusing on both technical.
- You will foster a data-driven culture within the organisation, promoting the use of analytics in decision-making processes.
- You will stay updated with the latest industry trends and advancements in analytics and data science.
- You will develop strategies for data collection, data governance, and data quality control.
- We are looking for someone with at least 10 years in Analytics, Business Intelligence, or Data Science role.
- You have expertise in maintaining high measurement standards, designing and analysing experiments, using SQL for data queries, and proficient in data visualisation tools like PowerBI.
- You have experience with Big Data technologies such as Spark and PySpark.
- You have foundation in statistics and practical experience with controlled experiments in the industry.
- You have experience influencing product decisions based on quantitative analysis.
- You have experience developing data strategies and policies.
- You can explore new business/product opportunities and identify insights for growth.
- You have experience leading expert teams, supporting professional development, and fostering data-driven culture.
- You can create anomaly detection systems to monitor product metrics.
- You can build analytics tools for debugging, data summarisation, and result analysis.
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex, create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
- You will explore business/ product opportunities, uncover insights, and identify areas for growth.
- You will work with product and engineering teams to design experiments that influence key product decisions.
- You will adapt in-production models for new markets to enhance product rollout.
- You will direct expert teams to launch products/ services and broaden Grab's data capabilities for deeper insights.
- You will develop and test data-driven hypotheses to address key challenges.
- You will create mixed effect and causal inference models to understand interaction effects or suboptimal product configurations.
- You will establish and oversee anomaly detection systems to alert changes or anomalies in product or system metrics.
- You will develop analytics tools to help data teams and other disciplines with debugging, data summarization, and result analysis.
- You will support team members in their professional development, focusing on both technical.
- You will foster a data-driven culture within the organisation, promoting the use of analytics in decision-making processes.
- You will stay updated with the latest industry trends and advancements in analytics and data science.
- You will develop strategies for data collection, data governance, and data quality control.
- We are looking for someone with at least 10 years in Analytics, Business Intelligence, or Data Science role.
- You have expertise in maintaining high measurement standards, designing and analysing experiments, using SQL for data queries, and proficient in data visualisation tools like PowerBI.
- You have experience with Big Data technologies such as Spark and PySpark.
- You have foundation in statistics and practical experience with controlled experiments in the industry.
- You have experience influencing product decisions based on quantitative analysis.
- You have experience developing data strategies and policies.
- You can explore new business/product opportunities and identify insights for growth.
- You have experience leading expert teams, supporting professional development, and fostering data-driven culture.
- You can create anomaly detection systems to monitor product metrics.
- You can build analytics tools for debugging, data summarisation, and result analysis.
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex, create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.

About Grab
Size | More than 5000 |
Industry | Passenger Ground Transportation |
Location | Singapore |
Founded | 1 July 2012 |