Dev Solutions | Jobs | Principal Data Scientist | BigDataKB.com | 31-03-22

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    Job Location: Bangalore/Bengaluru

    •  Collaborate closely with internal and external product stakeholders, both technical and non-technical and help translate deep machine learning knowledge to product applications
    •  Work closely with ML engineering and platform team to help define the vision of Machine Learning training and inference platforms running on the cloud
    •  Break down larger ML initiatives into smaller problems that enables data science to deliver incremental business value and lead the team to execute on them
    •  Mentor and grow other data scientists and engineers in the team on both data science modeling and software engineering skills
    •  Incorporate up-to-date ML technology and DS approach as best practice for the team
    •  Help in continuing to build out and expand the Data Science and ML Engineering teams
    •  Work effectively in a dynamic, changing environment while focusing on key goals and objectives
      •  Advanced degree in Data Science, Statistics, Applied Math, Computer Science, Engineering or
        other equivalent quantitative disciplines
      •  7+ years of industry experience in the field of Data Science and Machine Learning
      •  Strong proficiency in Python and SQL; experience with some of the following languages, tools,
        and frameworks: R, Spark, Scala, scikit-learn, Tensorflow, PyTorch, etc.
      •  Familiarity with standard software engineering practices and tools including object-oriented
        programming, test-driven development, CI/CD, git, shell scripting, task orchestration (Airflow,
        Luigi, etc.) and preferably AWS tooling (Sagemaker, DynamoDB, ECS, etc.)
      •  Strong knowledge of underlying mathematical foundations of statistics and machine learning
      •  Prior success deploying machine learning solutions in large-scale production environments
      •  Deep experience in one or more of the following areas: natural language processing,
        recommender systems, and deep learning

    •  Experience collaborating with cross-functional teams and stakeholders to evaluate new Machine Learning opportunities
    •  Problem solver who loves to dig into different kinds of data and can communicate their findings to cross-functional stakeholders
    •  A successful track record of developing financial risk and fraud detection solutions in payment
      systems.

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