POSITION REQUIREMENTS AND DETAILS

Data Scientist – Samsung Pay Data Science Team

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This is a great opportunity for a talented and hard-working data scientist to join and build data solutions for millions of users of the world’s best-selling mobile devices. The Data Science Team focuses on the rapid development of data models, algorithms, and frameworks for multiple Samsung services with an emphasis on Samsung Pay, the world’s most widely accepted mobile payment service. This is an exciting opportunity for anyone who is interested in envisioning, prototyping and implementing cutting-edge technologies with a growing team.

Come join the Samsung Pay Data Science team and help us define and develop the future role of Samsung in the software domain! All levels with relevant experience are welcome!

Responsibilities:

  • Technical leadership for innovations in the design and development of data pipelines and platforms
  • Design experiments, perform hypothesis testing, and build various data models
  • Research and develop cutting-edge data mining/machine learning technologies
  • Work with business and product stakeholders to identify business and product requirements and expected deliverables
  • Frame business scenarios that have impacts on business processes, decisions, and key performance indicators
  • Solve complex data science problems and deliver the results
  • Work with other technical leaders within Samsung
  • Work with customers and partners on deployments and technical integrations
  • Create quick prototypes and proof-of-concepts
  • Troubleshoot issues, implement fixes, and apply enhancement to data platform systems

Experience Requirements:

  • Working knowledge of project ideation and management
  • Strong problem modeling and solving capabilities
  • Solid theoretical background in data mining and/or machine learning
  • Hands-on experience of using data mining and/or machine learning algorithms in real-world applications
  • Strong programming skills with Java/Python
  • Proficiency in statistical analysis, quantitative analysis, predictive analysis, and optimization algorithms
  • SQL queries and databases, including Amazon RedShift, MySQL and PostgreSQL
  • Strong hands-on understanding of data structures and algorithms
  • Excellent communication and interpersonal skills
  • A good publication record in the fields of data mining and/or machine learning
  • PhD in Computer Science or equivalent experience

Preferred Experience Requirements:

  • Amazon Web Services
  • Experience with Spark, Kafka, Hadoop, Hive, Pig
  • NoSQL queries and databases, such as MongoDB, Elasticsearch and Couchbase
  • Expertise in Linux (Ubuntu, RedHat, CentOS)

Location: Mountain View, CA

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