Position Summary
Walmart is seeking a highly qualified Staff Data Scientist with a Ph.D. or Masters in Computer Science, Statistics, Artificial Intelligence, or related fields and at least 5+ years of work experience in machine learning. As a subject matter expert in machine learning, you will apply your deep understanding of the field to solve complex problems at scale, leveraging large datasets and state-of-the-art techniques. With experience in data preparation, featurization, and selection, you will be responsible for developing and deploying machine learning models that drive meaningful improvements in our customers' shopping experiences.
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' needs 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.
About Team
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 hundreds of millions of products to find the most relevant products for our customers. Team members take end-to-end responsibility in analyzing large amounts of data, creating complex models, improving their accuracy and deploying these models to serve customers.
What You'll Do
- Applying machine learning ranking algorithms to maximize the relevance of search systems and minimize risks.
- Building, validating, testing and deploying predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems.
- Identifying, collecting, and exploring the right data used for predictive modeling and algorithm development.
- Performing and leading developments using machine learning techniques in one or more of the key areas like natural language processing, computer vision, information retrieval, entity recognition, product classification, and recommender systems.
What You'll Bring
- Ph.D. in Computer Science, Statistics, Artificial Intelligence, Operations Research, Mathematics, Computational Linguistics or related fields.
- You have 5+ years of work and research experience in the machine learning field with a deep understanding of machine learning and interest in applying it at scale.
- You have experience with data cleaning, preparation, and featurization and selection techniques.
- You have experience working with large datasets to solve problems.
- You have experience with deep learning libraries like TensorFlow and/or PyTorch as well as experience with Spark and/or Hadoop.
- You have hands-on experience with Python, Java or Scala and the ability to write reusable and efficient code to automate machine learning pipeline and data processes.
- You have effective communication, interpersonal and teamwork skills.
- You have the ability to handle multiple concurrent projects while working independently and in teams.
- You can work in a fast-paced and deadline-driven environment.
About Walmart Global Tech
Imagine 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 experts, 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.
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer
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.
Minimum Qualifications
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
- Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
- Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
- 6 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.
- Successful completion of one or more assessments in Python, Spark, Scala, or R.
- Using open source frameworks (for example, scikit learn, tensorflow, torch).
- We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
Primary Location
840 W California Ave, Sunnyvale, CA 94086-4828, United States of America
#J-18808-Ljbffr