Walmart
Senior, Data Scientist | Personalization
Walmart, California, Missouri, United States, 65018
Immigration sponsorship is not available in this role .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. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.What you'll do :Utilize machine learning technologies such as Java, Python, Pyspark, Tensorflow, and PyTorch to design, develop, and implement high-performance, scalable applications for personalized recommendations.Apply knowledge of data analysis methods and techniques, such as dimensionality reduction, predictive modeling, and text mining, to perform feature engineering.Develop robust machine learning models using structured and unstructured data sets and advanced algorithms, including Neural Networks, Regression Models, and Gradient Boosting Algorithms.Stay abreast of and explore new technologies like Large Language Models (LLMs), deep learning, and reinforcement learning for potential application in our systems.Collaborate with cross-functional teams to understand their needs and implement data-driven solutions, continuously improving our personalization and recommendation capabilities.What you'll bring :Deep Understanding of Machine Learning and AI :
The candidate should possess a robust understanding of various
machine learning algorithms, artificial intelligence, and deep learning techniques . This includes but is not limited to
neural networks, regression models, gradient boosting algorithms, reinforcement learning, and large language models.Proficiency in Programming and Data Analysis :
The candidate should be highly proficient in languages such as
Java, Python, Pyspark , and have experience with machine learning frameworks like
Tensorflow and PyTorch .Experience in Large Scale Applied ML Model Building :
The candidate should have a
prior track record
of
successfully building, deploying, and maintaining large-scale machine learning models
in a production environment.Innovation and Problem-Solving Skills :
As the role involves working with new technologies, the candidate should have the ability to innovate and solve complex 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 are people-led and tech-empowered.Flexible, Hybrid work :We use a hybrid way of working that is primarily in office coupled with virtual when not onsite.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.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...840 W California Ave, Sunnyvale, CA 94086-4828, United States of America
#J-18808-Ljbffr
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. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.What you'll do :Utilize machine learning technologies such as Java, Python, Pyspark, Tensorflow, and PyTorch to design, develop, and implement high-performance, scalable applications for personalized recommendations.Apply knowledge of data analysis methods and techniques, such as dimensionality reduction, predictive modeling, and text mining, to perform feature engineering.Develop robust machine learning models using structured and unstructured data sets and advanced algorithms, including Neural Networks, Regression Models, and Gradient Boosting Algorithms.Stay abreast of and explore new technologies like Large Language Models (LLMs), deep learning, and reinforcement learning for potential application in our systems.Collaborate with cross-functional teams to understand their needs and implement data-driven solutions, continuously improving our personalization and recommendation capabilities.What you'll bring :Deep Understanding of Machine Learning and AI :
The candidate should possess a robust understanding of various
machine learning algorithms, artificial intelligence, and deep learning techniques . This includes but is not limited to
neural networks, regression models, gradient boosting algorithms, reinforcement learning, and large language models.Proficiency in Programming and Data Analysis :
The candidate should be highly proficient in languages such as
Java, Python, Pyspark , and have experience with machine learning frameworks like
Tensorflow and PyTorch .Experience in Large Scale Applied ML Model Building :
The candidate should have a
prior track record
of
successfully building, deploying, and maintaining large-scale machine learning models
in a production environment.Innovation and Problem-Solving Skills :
As the role involves working with new technologies, the candidate should have the ability to innovate and solve complex 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 are people-led and tech-empowered.Flexible, Hybrid work :We use a hybrid way of working that is primarily in office coupled with virtual when not onsite.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.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...840 W California Ave, Sunnyvale, CA 94086-4828, United States of America
#J-18808-Ljbffr