Staff, Data Scientist - Sunnyvale - Walmart

    Walmart
    Walmart Sunnyvale

    1 hour ago

    Walmart background
    Full time
    Description

    Job Title: Staff Data Scientist

    Walmart's Promise and Sourcing Applied AI team

    We are seeking a highly skilled Staff Data Scientist with expertise in Advanced Machine Learning, Deep Learning, and Reinforcement Learning to drive the ML system and roadmap for Walmart's Promise and Sourcing Engine.

    About Team:

    The Promise and Sourcing Applied AI team is responsible for enhancing and renovating the optimization of customer promise and sourcing options, influencing both customer journey and supply chain and logistics planning and execution.

    Responsibilities:

    • Architect machine learning solutions given an abstract business problem.
    • Perform hands-on data exploration, processing, and analysis on massive data sets.
    • Use state-of-the-art machine learning, deep learning, and data mining techniques to develop proof-of-concept predictive models.
    • Design scalable, low-latency services to host predictive models; productionize prototypes on the cloud.
    • Communicate the results to stakeholders and present the projects in internal or external conferences.
    • Research and develop advanced algorithms and techniques that address complex business problems.

    Requirements:

    • A Master's degree in Computer Science, Statistics, Optimization, or related field + 7 years' experience in a machine learning/deep learning related field OR a PhD with at least 3+ years of industry experience.
    • Technical expertise in machine learning, deep learning, statistical analysis, and software development.
    • Proficient in data mining, machine learning, and deep learning packages in Python/TensorFlow/Keras.
    • Experience working with large data sets and cloud computing (Hive, Spark, GCP, or Azure).
    • Proficient in coding SQL, Python, Java, or JavaScript.
    • A proven track record of leading innovation such as Medium Blog, patents, or conference presentations is a plus.

    Work Environment:

    We use a hybrid way of working that is primarily in-office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs.

    Benefits:

    Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.


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