Schneider Electric | Jobs | FTE – Regional BI – Data Scientist | BigDataKB.com | 31-01-22

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    Job Location: Bengaluru

     

    • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
    • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
    • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
    • Develop custom data models and algorithms to apply to data sets.
    • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
    • Develop company A/B testing framework and test model quality.
    • Coordinate with different functional teams to implement models and monitor outcomes.
    • Develop processes and tools to monitor and analyze model performance and data accuracy.
    Qualifications for Data Scientist
    • Minimum 3-5 years relevant experience in data science.
    • Model building and model deployment is must.
    • Strong problem-solving skills with an emphasis on product development.
    • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
    • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
    • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
    • Experience in providing the results of analyses in clear written form and presenting the findings to the audience
    • Experience with relational databases and data warehouse tools (such as Oracle, SQL Server, SAP etc.) and well-versed with creating data models/architectures.
    • Knowledge on Big Data AWS technologies (S3, RedShift) is preferred.
    • Must be able to work with minimal supervision.

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