Transunion | Data Scientist Associate | Poona | Bharat | | 2023-03-05

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Job Location: Poona

Job Detail:

  • Graduate-level degree preferred with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline
  • 0-2 years practical experience working as a data scientist applying machine learning to real-world problems
  • Communication skills to articulate technical aspect of model development to internal and external customers
  • Excellent understanding of machine learning techniques and algorithms, such as Classification, Regression, Clustering, Feature
  • with common data science toolkits such as R, Python, Anaconda, TensorFlow, SQL, Scikit-learn, etc.
  • Proficiency in using query languages such as SQL
  • Familiarity with applied statistical concepts such as distributions, statistical testing, regression, regulation
    Logical, evidence-based problem solving and critical thinking skills
  • Team focused attitude and evidence of supporting project team members

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The position will entail:

  • Utilizing statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs
  • Researching and developing new approaches, keeping ones skills up to date
  • Testing new methods of statistical analysis, software, and data sources for continual improvement of quantitative solutions, implementing as needed
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Performing ad-hoc analysis and presenting results clearly
  • Communicating results and ideas to key decision makers
  • Creating clear and easy to understand documentation for models
  • Presenting analysis, progress reports and results to internal and external customers
  • Collaborating with a Team Lead to develop technical/business approaches and new or enhanced technical tools
  • Participating in collaboration for implementation
  • Completing all responsibilities as outlined on annual Performance Plan
  • Completing all special projects and other duties as assigned

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