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    Lead Data Scientist - pune, India - Vodafone

    Vodafone
    Vodafone background
    Scientific
    Description

    Data Scientist / ML Engineer (EXP: 8 to 14 Years)

    JD:

    Big Data Handling:

    Passion and attitude to learn new data practices and tools (ingestion, transformation, governance, security & privacy), on both on-prem and Cloud (AWS preferable).

    Influences and contributes to innovative ways of unlocking value through companywide and external data

    Diagnostic Models:

    Experience with diagnostic system using decision theory and causal models (including tools like probability, DAG, ADMG, Deterministic SME, etc) to predict the effects of an action to improve insight-led decisions.

    Able to productize the diagnostic systems built for reuse.

    Predictive & Prescriptive Analytics Models:

    Expert in AI solutions - ML, DL, NLP, ES, RL etc.

    Should be able to build robust prescriptive learning systems that are scalable, real-time.

    Should be able to determine "Next Best Action" following Prescriptive Analytics.

    Autonomous Cognitive Systems:

    Drive Autonomous system utility and continuously improve precision through creating the stable learning environment.

    Should be able to build Intelligent Autonomous Systems to prescribe proactive actions based on ML predictions and solicit feedback from the support functions with minimal human involvement.

    Big data tech, environments & frameworks:

    Advanced applications of CNNs, RNNs, MLPs, Deep learning.

    Excellent application of machine learning and deep learning packages like tensorflow, pytorch, scikit, numpy, pandas, statsmodels theano, XGBoost etc.

    Demonstrated superior deep learning algorithms/framework.

    At least 1 certification in AWS will be preferred.


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