Senior Data Scientist Experimentation Platform
Senior Data Scientist Experimentation Platform
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Job Description
Get to Know the Team
At the AI Automation Team we strive to stay ahead by building comprehensive automated ML/AI solutions to solve complex challenges in Grabs marketplace. Our team focuses on areas like experiments embeddings recommendations and largescale marketplace optimizations. Were excited to welcome lead machine learning engineers who are passionate about advancing our mission by designing and refining innovative ML and experiment platforms.
Get to Know the Role
As a Senior Data Scientist your expertise will drive the development of advanced experimentation frameworks and optimization algorithms. You will create statistical testing methodologies building experimentation platforms and devising stochastic optimization solutions that deliver tangible business impacts across Grabs ecosystem. You will need a solid foundation in statistical analysis experimental design and optimization algorithms with demonstrated experience evolving scalable experimentation frameworks and optimization solutions. A profound understanding of causal inference hypothesis testing and stochastic processes will be crucial for success in this role. You will report into the Senior Machine Learning Engineering Manager and work onsite in Grab One North Singapore office.
The Critical Tasks You Will Perform
- You will design and develop automated frameworks for experimentation design and analysis.
- You will create and manage largescale statistical analysis pipelines to evaluate and interpret experiment data.
- You will implement stochastic optimization algorithms for improved marketplace efficiency and personalised user targeting.
- You will work with product teams to ensure experiments are rigorously designed and results are interpreted.
- You will guide teams in applying proper experimental design and optimization methodologies.
Qualifications :
What Essential Skills You Will Need
- Your degree in Statistics Mathematics Computer Science or a related field will support your technical insights needed for this role.
- You have over 5 years of experience conducting experimentation statistical analysis and optimization ensuring youre ready for complex challenges.
- Your expertise in A/B testing multivariate testing and experimental design is essential to your success.
- You have proficiency in statistical methods including hypothesis testing power analysis and causal inference which are crucial for the roles responsibilities.
- Your programming skills in Python are necessary for statistical computing and will help implement solutions.
- Youve worked with multiple experimentation platforms and frameworks reflecting your capability to build scalable systems.
- Familiarity with multiarmed bandit optimisation algorithms and reinforcement learning will support your strategic decisionmaking in experiments.
Additional Information :
Life at Grab
We care about your wellbeing at Grab here are some of the global benefits we offer:
- 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 LoveallServeall (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
- Balancing personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For at Grab
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer we consider all candidates fairly and equally regardless of nationality ethnicity religion age gender identity sexual orientation family commitments physical and mental impairments or disabilities and other attributes that make them unique.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
