Staff, Data Scientist – AI Agent Platform

Overview

Staff Data Scientist to own the technical roadmap and architecture for initiatives within Walmart's Conversational AI platform, supporting the Super-Agent Sparky and its ecosystem of application agents.

What you'll do

• Partner with key business stakeholders and be a thought leader in the Conversational AI space for driving the development and planning of POCs and production AI solutions.
• Translate business requirements into strategies, initiatives, and projects, and align these with business strategy and objectives.
• Drive the execution of the deliverables.
• Design, build, test and deploy cutting edge AI solutions at scale, impacting millions of customers worldwide.
• Lead multiple initiatives within the platform, with focus on efficiency, innovation, and leverage.
• Collaborate with applied scientists, ML engineers, software engineers and product managers to develop next generation AI assistant experiences.
• Stay up to date on industry trends in Generative AI, Speech/Video processing and AI assistant architecture patterns (e.g. agent chaining, COT, RAG, LLM guardrails).
• Provide technical leadership, guidance and mentorship to data scientists in the team.
• Lead innovation and efficiency through the complete problem-solving cycle, from approach to methods to development and results.
• Partner and engage with associates in other regions for delivering the best services to customers around the globe.
• Proactively participate in the external community to strengthen Walmart's brand and gain insights into industry practices.
• Drive innovation in the charter and publish research in top-tier AI conferences such as ICML, AAAI, NIPS, ACL.

What you'll need

• Master's degree with 8+ years, or Ph.D. with 6+ years of relevant experience, in Computer Science, Statistics, Mathematics or a related area.
• Strong track record in a data science tech lead role (5+ years), with deployment of large-scale AI services.
• Extensive experience in the design, development, and delivery of AI products with a large customer base, preferably in conversational AI, speech, vision or machine learning based systems.
• Strong experience in machine learning: Gen AI, NLP, Speech processing, Image processing, Classification models, regression models, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation and Gen-AI.
• Deep and demonstrated personal interest in the generative AI space, including awareness of the latest architectural advancements in building generative AI applications.
• Excellent decision-making skills with the ability to balance conflicting interests in a complex and fast-paced environment.
• Deep experience in simultaneously leading multiple data science initiatives end to end, from translating business needs to analytical asks, through building solutions, deployment and maintenance.
• Thorough understanding of distributed technologies, public cloud technologies, scalable platforms, ML platforms and Operational Excellence.
• Experience working with geographically distributed teams.
• Business acumen, combining technical vision with business insights.
• Research acumen, with papers published in top-tier AI conferences such as AAAI, NIPS, ICML, KDD.
• Strong experience with big data platforms: Hadoop (Hive, MapReduce, HQL, Scala).
• Strong experience in Python.
• Minimum qualifications, any one option: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field; or Master's degree in the same fields and 2 years' experience in an analytics related field; or 6 years' experience in an analytics or related field.

Details

• Location: Block-1, Prestige Tech Pacific Park, Sy No. 38/1, Outer Ring Rd, Kadubeesanahalli, India (Bangalore office).
• Work mode: Daily work from the Bangalore office, with flexibility for associates to manage personal lives.