Senior Data Scientist Job Vacancy in Kudo Singapore – Updated today

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Full Details :
Company Name :
Kudo
Location : Singapore
Position :

Job Description : Life at Grab
At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles – the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.
Get to know the Team
This is a completely hands-on role to own & build the next gen experimentation platform (Grab-X) at Grab. Grab-X guides product development through hundreds of controlled experiments and empowers Grab to take data driven decisions by crunching billions of events and resolving hundreds of billions of variables with latency in milliseconds per day. Check out some of our blogs to know more –
Building Grab’s Experimentation Platform
Reliable and Scalable Feature Toggles and A/B Testing SDK at Grab
Orchestrating Chaos using Grab’s Experimentation Platform
Querying Big Data in Real-Time with Presto & Grab’s TalariaDB
How we simplified our Data Ingestion & Transformation Process
A Lean and Scalable Data Pipeline To Capture Large Scale Events and Support Experimentation Platform
We are seeking passionate data scientists who have experience in building auto-adaptive(feedback loop driven) and large scale SAAS systems.
As part of this role you will have the opportunity to work on statistical/ML/AI libraries,deep learning frameworks like TensorFlow/PyTorch,probabilistic programming libraries,Golang, Kafka, Spark, Kubernetes etc. in the cloud.
We strive to build the next gen platform that enables all our consumers to be able to take data backed decisions without any manual intervention. We are looking at extending our capabilities to be multi-tenant, multi-cloud, auto-adaptive and be able to support multiple concurrent experiments in the near future.
Get to know the Role
As a Senior Data Scientist for our experimentation platform teams, you would be responsible for designing, implementing, rolling out, and evangelizing the next generation of experimentation and event management platforms at Grab.
The Day-to-Day Activities
Work closely with the Experimentation Platform engineers to ensure trustworthy experimentation
Apply the latest technologies and theoretical developments in online experimentation and causal inference
Implement and deploy statistical/ML/AI libraries and services to be used by various product teams within Grab.
Become an in-house specialist and technical liaison for Data Science teams across all functions
Collaborate with other platform and Data Science teams on company-wide development systems
Develop novel methodologies for experimentation and causal inference
Patent/publish your innovation/findings
The Must-Haves
Masters (PhD preferred) in Applied Math, Statistics, Computer Science, Econometrics, Applied Sciences, or related technical disciplines
Excellent understanding of online controlled experimental designs and causal inference
2-4 years of experience in developing data pipelines, building and productionalizing statistical/ML models
Strong Statistics and Machine Learning fundamentals
Good understanding of statistics and ML models
Hands-on experience in using mainstream deep learning frameworks (e.g. TensorFlow, PyTorch) preferred
Knowledge of probabilistic programming and bayesian statistics is a plus
Strong coding and engineering skills
Proficient in one or more of the following programming languages: Python, Scala, Go (Python preferred)
Strong knowledge of SQL
Knowledge of distributed data processing frameworks (Spark preferred)
Experience with cloud-based development (AWS/Azure)
Familiarity with Git-based source control
Experience with probabilistic programming libraries (e.g. PyMC3) is a plus
Self-motivated, passionate to learn about new experimentation method, and willing to share knowledge with team members
Ability to work in a dynamic and fast-paced working environment while maintaining attention to detail and efficient time management Efficient and detail oriented time manager who thrives in a dynamic and fast-paced working environment
Excellent communication skills, ability to translate complex technical details for non-technical audiences
The Nice-to-Haves
Being an experienced software engineer would be an advantage
Prior knowledge of platform development and MLOps would be preferred
Experience in online adaptive experimentation would be an advantage
Experience in experimentation for multi-sided marketplaces would be an advantage
Our Commitment
We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.
About Grab
Grab is the leading superapp platform in Southeast Asia, providing everyday services that matter to consumers. Today, the Grab app has been downloaded onto millions of mobile devices, giving users access to over 9 million drivers, merchants, and agents. Grab offers a wide range of on-demand services in the region, including mobility, food, package and grocery delivery services, mobile payments, and financial services across 428 cities in eight countries.
Join us today to drive Southeast Asia forward, together.

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