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Senior Data Scientist - Financial Service Development Section

📁
R&D Scientist
💼
Rakuten, Inc.
📅
00008446 Requisition #
Thanks for your interest in the Senior Data Scientist - Financial Service Development Section position. Unfortunately this position has been closed but you can search our 1,329 open jobs by clicking here.

Minimum Qualifications:

  • 5+ years' experience in analyzing heterogeneous data in real world using machine learning
  • Proven knowledge in machine-learning-based data analytics
  • 5+ years' experience in machine-learning-based data analytics
  • Proven background in applied mathematics (statistics, optimization, machine learning, graph theory, algebra, etc.)
  • 5+ years' experience in developing products with multiple modern programming languages
  • Solid technical knowledge on data platform for big data like Oracle, Teradata, etc.
  • Proven experience in using big data platform like Hadoop (Hive, MapReduce, etc.)
  • Willingness and skills to learn new technologies / programming languages by yourself when they are necessary
  • Skills to develop the best solutions with machine learning and mathematical methodology to the existent problems by understanding business requirements

 

Preferred Qualifications:

  • Experience publishing academic papers for international academic conferences (SIG-KDD, ICML, ICDM, etc.)
  • Experience participating in international academic conferences as a speaker
  • Experience in joining data science competitions, such as Kaggle and being in a good rank
  • Skills to work in a team-oriented environment
  • Knowledge and experience on analyzing data that is difficult to handle due to its peculiarity
  • Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
  • Experience building stream-processing systems, using technologies such as Kafka, Storm and Spark-Streaming
  • Experience with NoSQL databases, such as HBase, Redis, CouchBase, Cassandra, etc. and NewSQL databases like Google Spanner, CockroachDB, etc.
  • Analysis and BI skills to identify meaningful patterns, analyze them, and integrate them through visualization as well as business communication skills for understanding real requirements from users

Education:
  • MS degree in a mathematics (statistics, optimization, machine learning, graph theory, algebra, etc.)

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