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About Walmart With yearly revenue of 559 bn, Walmart employs approximately 2.2 million associates worldwide. We innovate to deliver a simple and seamless experience for our customers. Our tech talent solves the biggest and most complex problems. They drive digital transformation where data and analytics are enabling us to better serve our customers and create a digital relationship with them. As our customers evolve and adapt, we are taking it a few notches further here. Were changing what customers can expect from the experience of shopping, from physical stores, to mobile, social and even online forums were not just ready for the future of shopping, were creating it. Walmart India Development Centre is the cutting-edge technology arm of Walmart that helps to operate our stores across the world. If youre thinking scale, think bigger and dont stop there. At Walmart India Development Centre, we dont just innovate, we enable transformations across stores and different channels for the Walmart experience. Take a regular day at Walmart Labs and match that with 265 million customers transactions a week, 11,500 stores under 56 banners in 27 countries, and eCommerce websites in 10 countries. Thats Walmart Labs for you. Team and Position Summary Walmart Marketplace Walmart Marketplace is a key part of e-commerce at Walmart. It is a gateway for Third-Party Sellers to manage their operations, such as onboarding, catalogs, order fulfillment, global opportunities, and return refund management. We are responsible for providing the best in-class marketplace experience for our sellers and customers through the design, development, and operations of highly scalable systems. We interact with multiple teams within the company to develop scalable, robust technical solutions. The data scientist role will be part of the data science team and will play a key role working along with others within the Marketplace engineering organization, product managers and business stakeholders to build Machine Learning products. More about Marketplace httpsmarketplace.walmart.com Position Responsibilities As a Data Scientist for Walmart , youll have the opportunity to -Drive data-derived insights across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives -Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals -Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights -Build and train statistical models and machine learning algorithms for replication for future projects -Communicate recommendations to business partners and influencing future plans based on insights Position Requirements oVery good knowledge of the foundations of machine learning and statistics oExperience in analyzing the complex problems and translating them into data science problem oExperience in machine learning, supervised and unsupervised and deep learning. oHands on experience in Computer Visions and NLP. oExperience with big data analytics – identifying trends, patterns, and outliers in large volumes of data oStrong Experience in Python with excellent knowledge of Data Structures oStrong Experience with big data platforms Hadoop Hive, Pig, Map Reduce, HQL, Scala, Spark oHands on experience with Git oExperience with SQL and relational databases, data warehouse oQualifications oBachelors with 5 years of experience Masters degree with 3 years of experience. Educational qualifications should be preferably in Computer ScienceMathematicsStatistics or a related area. Experience should be relevant to the role. oGood to have oExperience in ecommerce domain. oExperience in R and Julia oDemonstrated success in data science platforms like Kaggle. Equal Opportunity Employer Statement Walmart Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity, unique styles, experiences, identities, ideas and opinions while being inclusive of all people.
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