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Data Scientist 2

4 months ago


Pune, Maharashtra, India Oracle Full time

Required Skills:

  • Bachelor's degree in Computer Science, Data Science, Machine Learning, or related technical field or equivalent practical experience
  • 25 years' experience of productoriented data science work experience
  • Strong quantitative skillset with proficiency in areas of data science, machine learning, statistical analysis, statistical model validation and implementation
  • Strong ability to program using Python
  • Knowledge and direct experience in advanced statistical techniques and concepts including classification, segmentation, statistical hypothesis testing
  • Experience in adopting machine learning techniques like regression, clustering, ensemble models, neural networks etc.
  • Experience in creating high quality visualizations for data exploration, model evaluation and interpretation purposes
  • Able to balance and prioritize multiple concurrent projects effectively
  • Eager to learn and work in an agile environment
  • Selfmotivated, responsible, and accountable
  • Excellent communication skills

Preferred Skills

  • Exposure to or interest in financial crime domain
  • Knowledge of Jira, Git/SVN, Jenkins
  • Knowledge/experience with SQL and/or any cloud technologies
  • Experience with Docker & Kubernetes
  • Handson experience with CI/CD for machine learning model deployment (MLOps)
  • Should have worked in an Agile Team

Responsibilities

  • Understand complex design requirements and develop efficient python code to implement data science pipelines and API frameworks
  • Create high quality test data for enabling the functional testing of APIs
  • Work on decision support areas such as anomaly detection, fraud detection, Customer segmentation, Risk scoring
  • Contribute and follow data science process including tasks and deliverables related to requirements, data discovery and extraction, model development, to implementation
  • Review the deliverables throughout development to ensure quality & traceability to requirements and adherence to all quality management plans & standards
  • Work effectively with Tech Leads and Developers to create and maintain the overall priorities and success measures for the enterprise