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Data Scientist

  • Will work on customer-facing use cases, such as anomaly detection, social engineering fraud prevention
  • Build comprehensive summary presentations to executive and technical teams
  • Turn statistical information into meaningful, actionable insights
  • Proven ability to build a data science pipeline
  • Leveraging advanced statistical techniques and machine learning models, including supervised and unsupervised learning
  • Successful ability to apply data science to business problems, scientific research, marketing and other fields


  • Well versed in Cloud technologies and Big Data platform.
  • Expertise in working with very large datasets
  • Strong skills in predictive, prescriptive, descriptive and cognitive analytics
  • Proficiency using query languages such as SQL, Pig, Hive –Experience using cloud services (AWS, Google Cloud Platform or Azure) for data analysis and modeling
  • Proficiency in R and/or Python
  • Strong knowledge of AI and Machine Learning
  • Understanding of one or more of the following areas: advanced statistical data analysis, machine learning techniques, Bayesian methods, MCMC, neural networks, Ensemble methods, Gaussian processes and related topics