Walmart
Data Scientist III
Walmart, California, Missouri, United States, 65018
Position Summary:
We are seeking a highly skilled Data Scientist to join our team at Walmart.
About the team:
Customer Digital Identity is an intelligent data platform that processes customer activity across markets, programs, devices, apps, and to some extent over the Internet, in close to real time, to produce a coherent epitome that is both representative and predictive. The central challenge is in privacy-preserving inference, be it deterministic or probabilistic. The platform offers superior insights into customer understanding while enabling new applications.
Our team believes in being EDHR – Everyday Holiday Ready – symbolizing the readiness for the scale/redundancy as if it’s Black-Friday/Cyber Monday/Big Billion day every day. If you thrive in solving business problems with highly tangible and enormous business impact, love working with fabulous team members who just click, this is the place!
What you'll do:
Analytical Modeling - Feature relevance and selection, exploratory data analysis methods and techniques, advanced statistical methods and best-practice advanced modeling techniques (e.g., graphical models, Bayesian inference, basic level of NLP, Vision, neural networks, SVM, Random Forest, etc.). Programming languages like R/Python.
Model Assessment & Validation - Model fit testing, tuning, and validation techniques (e.g., Chi square, ROC curve, root mean square error, etc.). Impact of variables and features on model performance.
Model Deployment & Scaling - Understanding of servers and model formats to store models.
Data Visualization: Generates appropriate graphical representations of data and model outcomes under guidance. Supports the understanding of customer requirements and designs data representations for simple data sets.
What you’ll bring:
Sound knowledge of machine learning and deep learning concepts.
Applied knowledge in ML (decision trees, random forests, boosting, etc.) and DL (CNNs, RNNs, attention mechanisms, etc.).
Sound knowledge of managing data for experiments (sampling, labeling, EDA, etc.).
Statistical Measurement, A/B Testing.
Experience working with large data sets in big data environments (preferably Hadoop based).
Working proficiency in Python, SQL, and Linux/UNIX environments.
Immigration sponsorship is not available in this role.
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.
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.
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. As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.
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).
Primary Location:640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America.
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We are seeking a highly skilled Data Scientist to join our team at Walmart.
About the team:
Customer Digital Identity is an intelligent data platform that processes customer activity across markets, programs, devices, apps, and to some extent over the Internet, in close to real time, to produce a coherent epitome that is both representative and predictive. The central challenge is in privacy-preserving inference, be it deterministic or probabilistic. The platform offers superior insights into customer understanding while enabling new applications.
Our team believes in being EDHR – Everyday Holiday Ready – symbolizing the readiness for the scale/redundancy as if it’s Black-Friday/Cyber Monday/Big Billion day every day. If you thrive in solving business problems with highly tangible and enormous business impact, love working with fabulous team members who just click, this is the place!
What you'll do:
Analytical Modeling - Feature relevance and selection, exploratory data analysis methods and techniques, advanced statistical methods and best-practice advanced modeling techniques (e.g., graphical models, Bayesian inference, basic level of NLP, Vision, neural networks, SVM, Random Forest, etc.). Programming languages like R/Python.
Model Assessment & Validation - Model fit testing, tuning, and validation techniques (e.g., Chi square, ROC curve, root mean square error, etc.). Impact of variables and features on model performance.
Model Deployment & Scaling - Understanding of servers and model formats to store models.
Data Visualization: Generates appropriate graphical representations of data and model outcomes under guidance. Supports the understanding of customer requirements and designs data representations for simple data sets.
What you’ll bring:
Sound knowledge of machine learning and deep learning concepts.
Applied knowledge in ML (decision trees, random forests, boosting, etc.) and DL (CNNs, RNNs, attention mechanisms, etc.).
Sound knowledge of managing data for experiments (sampling, labeling, EDA, etc.).
Statistical Measurement, A/B Testing.
Experience working with large data sets in big data environments (preferably Hadoop based).
Working proficiency in Python, SQL, and Linux/UNIX environments.
Immigration sponsorship is not available in this role.
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.
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.
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. As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.
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).
Primary Location:640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America.
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