Data Scientist

Visa Visa · Fintech · Beijing, China, China

Visa's Data Science team is seeking a Data Scientist to design and deliver projects using analytic methodologies and techniques to solve client business objectives. The role involves working with large datasets, quantitative techniques, and building complex statistical models. The team collaborates with business stakeholders and is responsible for creating and protecting analytic IP.

What you'd actually do

  1. design and deliver projects with the appropriate analytic methodologies and techniques to solve client’s business objectives
  2. deliver projects on time and within scope with an in-depth knowledge of data analytics and cutting-edge data mining techniques as well as the use of predictive, classification and alternate analytic algorithms for modeling and segmentation
  3. developing Data Analytics solutions to solve business problems
  4. work with large data sets using quantitative techniques and build complex statistical models that learn from big data
  5. work across multiple teams and functions for developing cutting edge, creative and advanced analytic solutions and processes

Skills

Required

  • Bachelor’s Degree in Computer Science or related field
  • Knowledge of developing Data Pipeline, including Ingestion, Transformation, Extraction etc.
  • Expertise in at least two of the following: Java / Go / Scala / Python

Nice to have

  • MS in Computer Science or related field
  • 2+ years of experience with distributed software development
  • Hands-on experience with all aspects of software development: data, server-side, UI, and open-source software
  • Experience with Linux, Open source, C++ or Java, client-server apps
  • Experience in large Data Pipeline handing is a big plus
  • Familiar with container strategies and ecosystems such as Docker, Kubernetes
  • Knowledge of cloud architecture and scalable solutions including orchestration
  • BlockChain technical expertise is a plus

What the JD emphasized

  • must, must be focused on delivering innovative analytics work
  • must, must be focused on delivering innovative analytics work