Dec 22, 2022
We are searching for ambitious and adaptable data scientists who would like to take advantage of the chance to work on some of the most difficult and productive big data and machine learning platforms in the world, processing 600 billion events daily and creating 5 billion predictions. As a member of the Data Science and Machine Learning (AI/ML) team, you will be exposed to real-world challenges like dynamic pricing, real-time customer intent prediction, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data like images and text, making individualized recommendations, developing algorithm-supported promotions and products for supply partners, and discovering insights . You will get the chance to work on one of the largest ML infrastructures in the world, which uses 150TB of memory, 30K+ CPU cores, and dozens of GPUs operating in parallel. We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
Work with developers and a variety of business owners to deliver daily results with the best quality.
Research discover and harness new ideas that can make a difference
4+ years hands-on data science experience.
Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
Can lead, work independently as well as play a key role in a team.
Good communication and interpersonal skills for working in a multicultural work environment.
PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
Experience in NLP, image processing and/or recommendation systems
Hands on experience in data engineering, working with big data framework like Spark/Hadoop
Experience in data science for e-commerce and/or OTA
We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.