Walmart
Senior, Data Scientist | Personalization
Walmart, California, Missouri, United States, 65018
Position SummaryWalmart Global Tech is looking to hire a seasoned
Senior Data Scientist
for their
Personalization team
in Sunnyvale to support the
Personalization and Recommendation development efforts
with our eCommerce team. This
role
will have the opportunity to explore the
real-world large-scale eCommerce data and build DS/ML models to improve the customers' shopping experiences
.
About Team :
PersonalizationImagine 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 and impact millions.
What you'll do :Develop state-of-the-art techniques in
Machine Learning, Personalization and Recommendation Systems .Design, implement, and own the state-of-the-art Machine Learning approaches including
deep learning, reinforcement learning, and computer vision techniques .Work with other tech leads on top-down or bottom-up initiatives and priorities.Develop data models based on new data insights.Design, architect, and iterate on data models.Iterate, challenge, and accelerate best practices in Personalization and Item Recommendations.
What you'll bring :Master's degree/PHD in Data Science, Computer Science
or related fields with
solid industry 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 Recommender 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.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 :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 :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.Primary Location :860 W California Avenue, Sunnyvale, CA 94086-0000, United States of America
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Senior Data Scientist
for their
Personalization team
in Sunnyvale to support the
Personalization and Recommendation development efforts
with our eCommerce team. This
role
will have the opportunity to explore the
real-world large-scale eCommerce data and build DS/ML models to improve the customers' shopping experiences
.
About Team :
PersonalizationImagine 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 and impact millions.
What you'll do :Develop state-of-the-art techniques in
Machine Learning, Personalization and Recommendation Systems .Design, implement, and own the state-of-the-art Machine Learning approaches including
deep learning, reinforcement learning, and computer vision techniques .Work with other tech leads on top-down or bottom-up initiatives and priorities.Develop data models based on new data insights.Design, architect, and iterate on data models.Iterate, challenge, and accelerate best practices in Personalization and Item Recommendations.
What you'll bring :Master's degree/PHD in Data Science, Computer Science
or related fields with
solid industry 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 Recommender 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.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 :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 :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.Primary Location :860 W California Avenue, Sunnyvale, CA 94086-0000, United States of America
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