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Data Scientist

Company Name: Samsung
Location: CA-BC-Vancouver
Date Posted: 27th Jan, 2017
Description:
  • Work in a multi-disciplinary scrum team
  • Collaborate with other groups including Product Management and Technical Support to understand business needs
  • Analyze data from various sources and propose insights and correlations that can be derived from the data
  • Analyze and research industry trends and facts in order to provide industry related subject matter expertise
  • Develop models and algorithms and automate some of the recurring reports and analysis
  • Contribute to the growth of our Big Data & BI Platform with new technologies, algorithms and solutions
  • Asses the data quality and help with various data cleansing and reconciliation tasks
  • Prepare reports based on data analysis and present to management
  • Be constantly challenged to learn and grow with new technologies and complex problems
  • Understand and continuously be aware of data security requirements of our various data sources (e.g. KNOX services, Samsung Pay, IoT events data, etc.)
Qualification:
  • 3+ years relevant experience in a Data Scientist or similar role
  • PhD or PhD candidate about to graduate in Data Science / Computer Engineering or Computer Science / Mathematics or related
  • Post Graduate qualification in Operations Research, Business Analytics, Industrial Engineering, Statistics or related field would be an asset
  • Publications, projects and interests in the areas of Deep Learning, Machine Learning, Recommendation Algorithms
  • Experience with machine learning and deep learning (Logistic Regression, Natural Language Processing, Convolutional Neural Network, Bayesian Learning, Linear Regression, Neural Networks, Cluster Analysis, Decision Trees, SVM, etc.)
  • Knowledge of SQL (MySQL, PostgreSQL) and preferably experience with NoSQL databases
  • Knowledge of programming and/or scripting languages (Java, bash, Python, R, etc.)
  • Knowledge of distributed programming (Hadoop, Spark, Kafka, Hive, Pig, Sqoop, etc.)
  • Knowledge of BI and Time Series Analysis
  • Knowledge of OLAP and dimensional modeling
  • Experience with AWS services (EC2, S3, AWS CLI, Lambda, Kinesis Firehose, Redshift etc.)
  • Experience with Git and Jenkins
  • Agile/Scrum software development methodologies