Walmart | Jobs | Staff Data Scientist | BigDataKB.com | 08-02-22

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    Job Location: Bangalore/Bengaluru

    Position Description

    This position is in the data science team under the Sam s Club – Supply Chain Technology group. The mission of the Vision Supply Chain Central Data Platform (SCCDP) is to provide an E2E digital footprint of the physical flow of goods as it flows from supplier through the supply chain network into the clubs, FCs and ultimately our members.

    We are a highly motivated group of Big Data Geeks, Data Scientists and Applications Engineers, working in small agile group to solve sophisticated and high impact problems. We are building smart data systems that ingest, model and analyse massive flow of data from online and offline user activity. We use cutting edge machine learning, data mining and optimisation algorithms on ad relevance, ranking and campaign optimisation.

    The staff data scientist of the Vision platform will be technically leading a group of data scientists and machine learning engineers to build the next generation prediction systems into Inventory, transportation, Order management Warehouse management components of the Sam s Supply Chain.

    Working with product and other business stakeholders to define our roadmap to drive advertiser value and enhance customer experience

    • Develop, implement, and test scalable solutions for improving ad targeting; interacting with other teams to define interfaces and resolving dependencies;
    • Researching and implementing methodologies to measure the impact of the technologies
    • Staying current on published data mining, machine learning and modelling techniques and competing technologies and sharing these findings with scientists and engineers in the organisation;
    • Maintaining world-class academic credentials through publications, presentations, external collaborations and service to the research community.

    Minimum Qualifications

    • Bachelors or equivalent degree in a computational science with 9 years in Data Science
    • Experience with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning and Reinforcement Learning;
    • Strong implementation experience with high-level languages, such as Python, R, Scala or similar scripting language, and familiarity with Linux/Unix/Shell environments;
    • Strong hands-on skills in sourcing, cleaning, manipulating and analysing large volumes of data using distributed computing platform;
    • Strong written and oral communication skills.

    Preferred Qualifications

    • Ph.D. in a computational science with an emphasis in Machine Learning
    • Experience with end-to-end modelling projects emerging from research efforts
    • Excellent academic or industrial track record of proposing, conducting and reporting results of original research, plus collaborative research with publications

    Apply Here

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