Position Summary...
What youll do... About Team
This is the team which builds reusable technologies that aid in acquiring customers, onboarding and empowering merchants besides ensuring a seamless experience for both these stakeholders. We also optimize tariffs and assortment, adhering to the Walmart philosophy - Everyday Low Cost. In addition to ushering in affordability, we also create personalized experiences for customers the omnichannel way, across all channels - in-store, on the mobile app and websites. Marketplace is the gateway to domestic and international Third-Party sellers; we enable them to manage their end-to-end onboarding, catalog management, order fulfilment, return ; refund management. Our team is responsible for design, development, and operations of large-scale distributed systems by leveraging cutting-edge technologies in web/mobile, cloud, big data ; AI/ML. We interact with multiple teams across the company to provide scalable robust technical solutions.
What youll do:
As a Staff Data Scientist responsible for building scalable end-to-end data science solutions for our data products.
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Work closely with data engineers and data analysts to help build ML- and statistics-driven data quality and continuous data monitoring workflows
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Solve business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data
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Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management
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Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping.
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Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice and drive innovation
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Promoteand support company policies, procedures, mission, values, and standards of ethics and integrity.
What youll bring:
Preferredqualifications:
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Knowledge of the foundations of machine learning and statistics
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Solid Experience working on Gen AI Techstack and building Gen AI powered solutions in production
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Experience withweb service standards and related patterns (REST,gRPC)
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Experienced in architecting solutions with Continuous Integration and Continuous Delivery in mind
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Familiar with distributed in-memory computing technologies
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Solid experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems
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Strong Python coding and package development skills
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Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and MapReduce;Ability to work in a big data ecosystem - expert in SQL/Hive and ability to work with Spark.
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Able to refactordata science code andhas collaborated with data scientists in developing ML solutions.
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Experience playing the role of full-stack data scientist and taking solutions to production.
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Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring.
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Educational qualifications should be preferably in Computer Science, Statistics,Engineeringor a related area.
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Good effective communication (both written and verbal) skills and the ability to present complex ideas in a clear ; concise way, to different audiences. Ateam player with good work ethics
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Preferred prior experience in Retail, Risk and Fraud Detection
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Require mandatory hands on experience in working in Spark or other comparable distributed computing frameworks
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Walmart s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our [Bangalore/Chennai] office for daily work, with the flexibility for associates to manage their personal lives.
Benefits
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Belonging
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Equal Opportunity Employer
Walmart, Inc., is an Equal Opportunities 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 unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.
Minimum Qualifications...
Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics related field. Option 3: 6 years experience in an analytics or related field., Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics related field. Option 3: 6 years experience in an analytics or related field.
Preferred Qualifications...
Primary Location... BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India
