(USA) Senior Distinguished Data Scientist, eComm - job 31 of 41

Position Summary...What you'll do...AI/ML ArchitectSunnyvale, CA; Hoboken, NJWhat you'll do...We are at the forefront of attacking one of the most complex problems of e-commerce. Whenever a user types in a query or browses through product categories on the web site, phone or the iPad, our service goes to work. We mine billions of search queries and tens of millions of products to find the most relevant products for our customers. Team members take end-end responsibility in analyzing large amounts of data, creating complex models, improving their accuracy and deploying these models to serve customers.As part of this team, you'll solve some of the most fascinating and impactful problems in machine learning, information retrieval, NLP or computer vision problems. The algorithms you develop will champion customers need to express their intent and our goal to understand their preferences, implicitly or explicitly across devices and modalities (voice, text, image etc.). You will develop and deploy machine learned models, to engage and converse with our customers and to understand their goals and expectations to enable them to make the right purchase decision. Your work will be visible to millions of customers and you will have a direct impact on the goals of the Fortune #1 enterprise. If you speak and think machine learning then we want to talk to you. Come join our team and be part of this exciting journey.Position Summary:As an AI/ML Architect, you will play a crucial role in designing and implementing robust, scalable, and efficient AI/ML solutions for our diverse range of projects in product search space. The successful candidate will be responsible for understanding customer experience, business requirements, defining architecture, and leading the development of AI/ML models that drive innovation and enhance business outcomes.What you'll do:• Collaborate with cross-functional teams, including data scientists, engineers, product managers and business stakeholders, to understand customer experience and business requirements.• Design end-to-end AI/ML architectures that align with business goals and scalability requirements.• Evaluate and select appropriate technologies and frameworks for implementation.• Lead the development and implementation of state-of-the-art AI/ML models.• Identify opportunities for optimization and improvement in model accuracy and efficiency.• Ensure models are accurate, efficient, and scalable for deployment in production environments.• Implement monitoring systems to track the performance of deployed models.• Work closely with data engineers to ensure the availability of high-quality, clean, and relevant data.• Develop and implement data preprocessing and feature engineering pipelines.• Document architecture, design decisions, and code to ensure knowledge transfer and maintainability.What you'll bring:• 10+ years of experience working as a Data Scientist, Solution Architect, or similar role.• Advanced experience working with Generative AI and emerging AI Solutions.• Skilled in establishing credibility and building rapport with Technical and Business stakeholders to increase collaboration and solution adoption.• Expertise in designing and implementing machine learning models for Search or Information Retrieval applications.• Solid grasp of the ML model lifecycle, from data preparation and feature engineering to model selection, training, evaluation, and deployment.• Experience with architecture design documents, technical roadmaps, and business socialization.• Proficiency in using ML frameworks (TensorFlow, PyTorch, sci-kit-learn) and languages (Python, Java) for model development and experimentation.• Excellent problem-solving skills, with the ability to translate business requirements into technical solutions.About Walmart Global TechImagine working in an environment 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 expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Flexible, hybrid work:We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.‎‎‎You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.‎For information about PTO, see https://one.walmart.com/notices .‎‎Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.‎Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.‎For information about benefits and eligibility, see One.Walmart .‎The annual salary range for this position is $168,000.00-$312,000.00‎Additional compensation includes annual or quarterly performance bonuses.‎Additional compensation for certain positions may also include:‎- Regional Pay Zone (RPZ) (based on location)‎- Stock‎‎Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 7 years' experience in an analytics related field. Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 3: 9 years' experience in an analytics or related field.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location...680 WEST CALIFORNIA AVENUE, SUNNYVALE, CA 94086-4834, United States of America