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    Principal Research Scientist - Bengaluru, India - Rakuten India

    Rakuten India
    Rakuten India Bengaluru, India

    49 minutes ago

    Default job background
    Description

    Business Overview:


    Rakuten is one of the largest internet services company globally and provides more than 70 services spanning eCommerce, finance, telecommunication, sports and much more to approx.

    1.4 billion customers worldwide.

    Following the strategic vision "Rakuten as a data-driven membership company", we are expanding our data activities across our multiple Rakuten group companies.


    With hundreds of millions of members and trillions (yen) in spending from members Rakuten's Membership enjoys un-paralleled eco-system of benefits and amongst the largest in the world.

    Our talented and driven team operates a portfolio of data and data science products and services that enable personalization and enablement of sciences at Rakuten.

    Rakuten Institute of Technology (RIT) was launched in 2005 as the dedicated R&D organization for the Rakuten Group.

    RIT's Customer Program builds deep customer understanding at all the steps in the Customer Journey with Rakuten to deliver scalable, repeatable data science solutions for Marketing and Customer Nurturing products.


    Deep CDNA Research team builds universal customer models and applications, motivated by the recent success of pre-trained models in the language and vision fields.


    Such models can be adapted to improve a diverse set of service solutions including recommendation systems, customer targeting solutions, and credit scoring functions, to name a few.

    Responsibilities

    Experiment with state of the art deep learning architectures to improve customer models for downstream tasks such as credit scoring, fraud, marketing, etc.

    Develop strong relationships with Rakuten functional areas to identify best practices, solicit input/data, coordinate interdisciplinary initiatives, and gather support for recommendations.

    Areas of opportunity and influence execution of results via cross-functional participation to enable quick wins and continuous improvement.

    Qualifications
    Masters/PhD in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
    12+ years of industry experience in predictive modelling, recommender systems.
    Solid understanding of foundational statistics concepts and ML and deep learning algorithms: linear/logistic regression, random forest, boosting, GBM, NNs, etc
    Previous experience, preferably in product company, in building DL models
    Experience using Python and ML libraries, such as scikit-learn, pandas, numpy, scipy
    Experience handling terabyte size structured and unstructured datasets using distributed frameworks such as Spark, Hive
    Familiarity with using data visualization tools
    Experience working with GPUs to develop deep learning models
    Ability to develop experimental and analytic plans for data modelling processes, use of strong baselines, ability to accurately determine cause and effect relations
    Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
    Along with product managers, own the business outcomes/metrics which the data science model/algorithm drives
    Strong written and verbal communication skills
    Bonus Points for Experience with A/B testing
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