Walmart
Senior, Data Scientist
Walmart, California, Missouri, United States, 65018
Position Summary:
The Search Team at Walmart is responsible for the algorithms that power Walmart’s e-commerce search, which is used by tens of millions of customers each day. We use state-of-the-art machine learning and AI to ensure that we show the most relevant and best products to the customer.
We are seeking a Senior Data Scientist with a strong foundation in machine learning, information retrieval, and LLMs. The selected candidate will be responsible for architecting and developing new Machine Learning models to enhance the eCommerce user search experience. This is an exciting opportunity for a creative and innovative professional who thrives in a fast-paced, results-driven environment.
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:
Develop and implement new ranking algorithms based on machine learning.
Conduct statistical analysis techniques for search engine evaluations including Interleaving and A/B tests.
Write production code in Java for real-time calculations of engagement and relevance feature values.
Solve defined machine learning problems, and justify chosen approaches.
Retrieve and process data from multiple databases and extract useful features for modeling purposes.
Analyze data and evaluate model performance, and propose improvement plans.
Develop custom models and algorithms to drive business solutions, and scale them to large data sets.
What you'll bring:
Ph.D. or M.S. with 2+ years of experience in a quantitative field like Computer Science.
Solid understanding of Machine Learning models including Logistic Regression, Support Vector Machine, Random Forest, Gradient Boosting Decision and Deep Neural Networks.
Proficiency in database systems including SQL and Spark.
Familiarity with Deep Learning frameworks including TensorFlow and PyTorch.
Experience with Cloud technology including GCP, AWS, and Azure.
Proficient in Java and Python.
Strong statistical data analysis skills.
Experience with Large Language Models (LLMs).
Ability to break down complex business problems into solvable analytical problems.
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.
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.
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:
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.
Primary Location:
640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America
#J-18808-Ljbffr
The Search Team at Walmart is responsible for the algorithms that power Walmart’s e-commerce search, which is used by tens of millions of customers each day. We use state-of-the-art machine learning and AI to ensure that we show the most relevant and best products to the customer.
We are seeking a Senior Data Scientist with a strong foundation in machine learning, information retrieval, and LLMs. The selected candidate will be responsible for architecting and developing new Machine Learning models to enhance the eCommerce user search experience. This is an exciting opportunity for a creative and innovative professional who thrives in a fast-paced, results-driven environment.
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:
Develop and implement new ranking algorithms based on machine learning.
Conduct statistical analysis techniques for search engine evaluations including Interleaving and A/B tests.
Write production code in Java for real-time calculations of engagement and relevance feature values.
Solve defined machine learning problems, and justify chosen approaches.
Retrieve and process data from multiple databases and extract useful features for modeling purposes.
Analyze data and evaluate model performance, and propose improvement plans.
Develop custom models and algorithms to drive business solutions, and scale them to large data sets.
What you'll bring:
Ph.D. or M.S. with 2+ years of experience in a quantitative field like Computer Science.
Solid understanding of Machine Learning models including Logistic Regression, Support Vector Machine, Random Forest, Gradient Boosting Decision and Deep Neural Networks.
Proficiency in database systems including SQL and Spark.
Familiarity with Deep Learning frameworks including TensorFlow and PyTorch.
Experience with Cloud technology including GCP, AWS, and Azure.
Proficient in Java and Python.
Strong statistical data analysis skills.
Experience with Large Language Models (LLMs).
Ability to break down complex business problems into solvable analytical problems.
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.
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.
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:
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.
Primary Location:
640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America
#J-18808-Ljbffr