Walmart
Senior, Data Scientist | Personalization
Walmart, Sunnyvale, California, United States, 94087
Please note Immigration Support is not available for this role & location.
Walmart Global Tech is looking to hire an exceptionally talented
Senior Data Scientist
for their Personalization team in Sunnyvale to support the
Personalization and Recommendation development efforts
with our eCommerce team.
As a
Senior Data Scientist
for our team, you'll leverage your expertise in
machine learning, deep learning, and reinforcement learning
to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like
Large Language Models (LLM's) . This role taps into the forefront of AI, offering the opportunity to innovate and shape the future of
retail personalization .
About Team:
Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at
Walmart.com , through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.
What you'll do:
Leverage machine learning technologies such as
Java, Python, Pyspark, Tensorflow, and PyTorch
to design, develop, and implement high-performance, scalable applications for personalized recommendations.
Create robust machine learning models using structured and unstructured data sets and advanced algorithms, including
Neural Networks, Regression Models, and Gradient Boosting Algorithms .
Collaborate with data engineers and software developers to design and implement data pipelines and architectures that support recommendations at scale.
Work with stakeholders across the company to understand business needs and develop data-driven solutions that drive insights and automation.
Communicate findings and insights to stakeholders through clear and concise reports and presentations.
Stay up to date with the latest developments in machine learning and apply this knowledge to improve our products and processes.
What you'll bring:
Master's degree/PHD in Data science, Computer Science
or related fields with
3-5 years of practical experience
Expertise in
Machine Learning, Statistics, Personalization and Item Recommendation algorithms
Experience in data science and building and evaluating
large scale machine learning & deep learning models
Experience in
designing and deploying highly scalable Recommenders Systems for e-commerce
Curiosity in state-of-the-art techniques in recommendation related areas
Exceptional business acumen and problem-solving skills, a demonstrated ability to prototype and implement complex AI solutions
Outstanding communication, leadership, and written skills
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.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
The annual salary range for this position is $117,000.00-$234,000.00. Additional compensation includes annual or quarterly performance bonuses.
Minimum 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 3 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 1 years' experience in an analytics related field.
Option 3 - 5 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, Master’s degree 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.
The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.
Primary Location... 860 W California Avenue, Sunnyvale, CA 94086-0000, United States of America
#J-18808-Ljbffr
Walmart Global Tech is looking to hire an exceptionally talented
Senior Data Scientist
for their Personalization team in Sunnyvale to support the
Personalization and Recommendation development efforts
with our eCommerce team.
As a
Senior Data Scientist
for our team, you'll leverage your expertise in
machine learning, deep learning, and reinforcement learning
to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like
Large Language Models (LLM's) . This role taps into the forefront of AI, offering the opportunity to innovate and shape the future of
retail personalization .
About Team:
Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at
Walmart.com , through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.
What you'll do:
Leverage machine learning technologies such as
Java, Python, Pyspark, Tensorflow, and PyTorch
to design, develop, and implement high-performance, scalable applications for personalized recommendations.
Create robust machine learning models using structured and unstructured data sets and advanced algorithms, including
Neural Networks, Regression Models, and Gradient Boosting Algorithms .
Collaborate with data engineers and software developers to design and implement data pipelines and architectures that support recommendations at scale.
Work with stakeholders across the company to understand business needs and develop data-driven solutions that drive insights and automation.
Communicate findings and insights to stakeholders through clear and concise reports and presentations.
Stay up to date with the latest developments in machine learning and apply this knowledge to improve our products and processes.
What you'll bring:
Master's degree/PHD in Data science, Computer Science
or related fields with
3-5 years of practical experience
Expertise in
Machine Learning, Statistics, Personalization and Item Recommendation algorithms
Experience in data science and building and evaluating
large scale machine learning & deep learning models
Experience in
designing and deploying highly scalable Recommenders Systems for e-commerce
Curiosity in state-of-the-art techniques in recommendation related areas
Exceptional business acumen and problem-solving skills, a demonstrated ability to prototype and implement complex AI solutions
Outstanding communication, leadership, and written skills
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.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
The annual salary range for this position is $117,000.00-$234,000.00. Additional compensation includes annual or quarterly performance bonuses.
Minimum 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 3 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 1 years' experience in an analytics related field.
Option 3 - 5 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, Master’s degree 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.
The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.
Primary Location... 860 W California Avenue, Sunnyvale, CA 94086-0000, United States of America
#J-18808-Ljbffr