Principal, Data Scientist – Converse

Walmart; Sunnyvale (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Join a forward-thinking company as a Principal Data Scientist, where you will leverage your expertise in Python and machine learning to revolutionize retail technology. This role offers the chance to work on cutting-edge natural language understanding projects that enhance customer experiences through innovative solutions. Collaborate with a talented team to tackle complex supply chain challenges and create impactful models that shape the future of retail. If you're passionate about data science and eager to make a difference, this is the opportunity for you!

Qualifications

• Proficient in Python and SQL with experience in classical ML models.
• Understanding of statistical measures and NLU/NLP techniques.

Responsibilities

• Improve NLU capabilities and evolve multi-modal interactions.
• Design and implement innovative data-science driven products.

Skills

Python

SQL

Natural Language Understanding (NLU)

Machine Learning (ML)

Statistical Analysis

Data Representation Optimization

Communication Skills

Education

Bachelor's degree in Machine Learning, Computer Science, Engineering, Mathematics, or Statistics

PhD in a relevant field

Tools

Deep Learning Models (Transformers, BERT, etc.)

ML-ops Tools

Job description

Position Summary

We are looking for an experienced Principal Data Scientist to join our emerging tech team. At Walmart Global Tech, we are leading the way in revolutionizing retail through advanced technology and data science. Our team of experts is committed to solving current supply chain challenges and conducting research and development to create models that address the future requirements of our complex omni-channel international business.

About Team

Cortex Team is Walmart's core A.I. conversational platform, powering the vision of delivering the world's best personal assistants to Walmart's customers, accessible via natural voice commands, text messages, rich UI interactions, and a mix of all of the above via multi-modal experiences. We believe conversations are a natural and powerful user interface for interacting with technology and enable a richer customer experience -- both online and in-store. We are building and designing the next generation of Natural Language Understanding (NLU) services that other teams can easily integrate and leverage, and build rich experiences: from pure voice and text shopping assistants to customer care channels, to mobile apps with rich, intertwined, multi-modal interaction modes.

What you'll do:

We need passionate and seasoned NLP data-scientists to help us improve and evolve our capabilities, considering the full conversational context, multi-modal interactions, and an ever-increasing list of use cases. Come at the right time, and you will have an enormous opportunity to make a massive impact on the design, architecture, and implementation of an innovative, mission-critical product, driven by data-science, used every day, by people you know, and which customers love. As part of the emerging tech group, you will also have the additional opportunity of building demos, proof of concepts, creating white papers, writing blogs, etc.

What you'll bring:

• Proficient in Python; solid knowledge of SQL
• Hands-on experience with classical ML models, test/train/evaluation metrics, key parameters/techniques that affect model performance
• Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets
• Familiar with NLU/NLP, more recent deep ML models (e.g., Transformers, BERT, Llama, Gpts, Gemini) including safe fine-tuning of these
• Ability to communicate with model consumers and present results intuitively
• Experience in identifying patterns, conducting error/ deviation analysis, and optimizing data representation
• Bachelor's degree or certification in Machine Learning, Computer Science, Engineering, Mathematics, Statistics or any other related field

Preferred Qualifications:

• Exposure to real-world, production grade agentic systems
• Familiarity with LLMs serving optimizations and multi-LoRa
• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
• Strong attention to detail and exceptional organizational skills
• Proven ability to achieve results in a fast-paced, highly collaborative and dynamic work environment
• Hands-on expertise across the full model lifecycle, including data pipelines, extraction, model training, model serving, labeling tools, ML-ops and ad-hoc tooling.
• PhD in a relevant field (Machine Learning, Computer Science, Engineering, Mathematics, Physics, Statistics or a related field)

About Walmart Global Tech

Imagine working where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make epic impact and are leading the next retail disruption. People are why we innovate, and people power our innovations.

Who We Are:

Join Walmart and your work could help approximately 220 million global customers live better every week. Yes, we are the Fortune #1 company. But you'll quickly find we're a company who wants you to feel comfortable bringing your whole self to work. Our mission spreads far beyond the walls of our stores. Here at the world’s leading retailer, you can make career defining accomplishments, learn new skills, gain experience from virtually every industry and leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Equal Opportunity Employer:

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates,