Societe Generale | Jobs | Lead Data Scientist | BigDataKB.com | 02-02-22

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    Job Location: Bangalore/Bengaluru

    Responsibilities

    Integrate end-to-end Machine Learning (ML) solutions into feature/product suite and/or business functions. Research on industry trends such as deep learning framework. Develop complete documentation on Machine Learning development process (ML Runbook) and own ML audit ownership. Obtain data recommendations and present to stakeholders to enhance Business KPIs. Identify opportunities to automate analytical or data flow processes and recommend design experiments for any specific problems/challenges. Guide a team of data analysts and scientists.

    • Integrate end-to-end Machine Learning (ML) solutions into feature/product suite and/or business functions.
    • Research on industry trends such as deep learning framework.
    • Develop complete documentation on Machine Learning development process (ML Runbook) and own ML audit ownership.
    • Obtain data recommendations and present to stakeholders to enhance Business KPIs.
    • Identify opportunities to automate analytical or data flow processes and recommend design experiments for any specific problems/challenges.
    • Guide a team of data analysts and scientists.

    Candidate profile:

    An Engineering degree with a specialization in computer science or electronics or a Bachelor’s degree in the field of mathematics or statistics.

    A Master’s degree or Doctorate from a reputed University with specialization in statistics, Optimization Algorithms, Artificial Intelligence, Machine Learning or relevant domain.

    Proven experience in Statistical Learning (Inference / Regression / Clustering etc.) and Machine Learning (KNN, Random Forests, Ensemble Methods, Bayesian/Markov networks, Kernel Methods etc.)

    Demonstrated experience of data visualization tools, information architecture and designing dashboards.

    Understanding of enterprise data technologies, ETL pipelines and streaming models.

    Proven proficiency in SQL, relational databases and data-warehouse.

    Apply Here

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