Job Description: The Enterprise Item and Inventory Organization is responsible for architecture, design and delivery of all subsystems that make up the Walmart Product Catalog eco system. This catalog drives the ecommerce and stores business across US and international markets. This eco system is large distributed platform built on technologies like Cassandra, Hadoop, spark, storm, Kafka, and elastic search. It scales to millions of transactions per hour and handles hundreds of millions of unique SKUS. It can be largely grouped into the following A master data source for product information, images, videos, offerings and supply/chain data Machine learning and data science – Leveraging machine learning and data science techniques to address use cases like classification, product matching, attribute extraction, title optimization, image correction, detection of offensive content, quality assessment. A large-scale distributed data processing pipeline orchestrating transaction across micro services handling product data. Leverage a graph DB to build a retail graph APIs and data integration layer powering digital experiences, search, analytics and marketing. Job Responsibilities: Leading a team of data scientists and machine learning engineers to develop, implement, and test scalable solutions for item and catalog. Consult with business stakeholders across stores and ecommerce businesses regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Mentor peers and junior members and handle multiple projects at the same time. Manage the continuous improvement of data science and machine learning led initiatives by following industry best practices and staying up to date with and extending the state-of-the-art in data science research. Excellent academic or industrial track record of proposing, conducting and reporting results of original research, plus collaborative research with publications Engage and partner with universities, institutes and vendor partners to ideate and innovate. Participate and speak at various external forums such as ML / AI conferences. Promote and support company policies, procedures, mission, values, and standards of ethics and integrity Work with teams that are distributed across geographies. Job Requirements: PhD/MS in Computer Science, Applied Math, Statistics, Operations Research or related field 10+ years of experience working with large data sets or do large scale quantitative analysis Experience in analyzing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale. Experience in machine learning, supervised and unsupervised: Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms. Experience in statistical learning: Predictive & Prescriptive Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic / Causal Model, Statistical Learning, Guided Decisions, Topic Modeling Experience working with big data - identifying trends, patterns, and outliers in large volumes of data. 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 Worked with at least one mainstream machine learning frameworks, including caffe, convNet, Tensor Flow, Torch Working proficiency with SQL and relational databases, data warehouse Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL) / Spark / H20 Job Details: Company: Walmart Vacancy Type: Full Time Job Location: Nagpur, Maharashtra, IN Application Deadline: N/A Apply Here vacancyvite.com
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