Walmart
Data Scientist III | Search | NLP/CV
Walmart, California, Missouri, United States, 65018
**Immigration sponsorship is not available in this role**.Walmart is seeking a highly qualified
Data Scientist
with a
Ph.D. or Masters in Computer Science, Statistics, Artificial Intelligence,
or related fields and
at least
1-2
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. 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.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 system 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 system.What you'll bring:Ph.D. in Computer Science, Statistics, Artificial Intelligence, Operations Research, Mathematics, Computational Linguistics
or related fields.You have
1-2
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 library
like TensorFlow and/or PyTorch, as well as experience with Spark and/or Hadoop.You have/had 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.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.Benefits: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.Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.Primary Location:
840 W California Ave, Sunnyvale, CA 94086-4828, United States of America
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Data Scientist
with a
Ph.D. or Masters in Computer Science, Statistics, Artificial Intelligence,
or related fields and
at least
1-2
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. 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.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 system 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 system.What you'll bring:Ph.D. in Computer Science, Statistics, Artificial Intelligence, Operations Research, Mathematics, Computational Linguistics
or related fields.You have
1-2
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 library
like TensorFlow and/or PyTorch, as well as experience with Spark and/or Hadoop.You have/had 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.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.Benefits: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.Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.Primary Location:
840 W California Ave, Sunnyvale, CA 94086-4828, United States of America
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