Walmart
Senior, Data Scientist (ML)
Walmart, Washington, District of Columbia, us, 20022
We are looking for a passionate, creative full stack Senior Data Scientist to join Walmart's fraud detection team. You will have the unique opportunity to work with massive business and social data generated by Walmart Inc.'s unparalleled online and offline commerce.You will be responsible to use cutting-edge machine learning, data mining, and anomaly detection techniques to design and prototype robust, scalable predictive models and analytics solutions. You will be a part of a cross-functional team of Data Scientists, Engineers, Product managers, and Business professionals that sit at the intersection of Data Science, Big data, IT infrastructure, and business operations.
About Team:Our team creates reusable technologies to help with customer acquisition, onboarding, and empowering merchants, while ensuring a seamless experience for both of these stakeholders. We also optimize tariffs and assortment in accordance with Walmart's Everyday Low Cost philosophy. We not only create affordability, but we also deliver customized experiences for customers across all channels - in-store, mobile app, and websites.
What you'll do:Design, build and implement predictive models with high-dimensional, fast moving real time datasets.Own fraud/abuse risks in a product or segment of a product, be a strategic partner to product development teams, sharing insights and providing recommendations through effective communication and storytelling with data.Use machine learning, deep learning and data mining techniques to develop robust predictive models for anomaly detection such as account takeover (ATO) risk detection, E-Commerce payment fraud detection, return abuse, and Identity risk assessment.Build data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.Interested in researching about new methods, tools and techniques to address complex business problems.
What you'll bring:Technical expertise in machine learning, statistical analytical and storytelling.Proficient in machine learning and data mining packages in Python.Experience working with large data sets and distributed computing tools (GCP/BigQuery experience preferred).Programming skills in one of the following languages: Java, or JavaScript on a UNIX or Linux platform.
About Walmart Global TechImagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.3 million associates. To others, innovation looks like an app, service, or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption. 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 workWe use a hybrid way of working that is primarily virtual, while remaining near the locations Global Tech calls home. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Of course, being together in person is an important part of our culture and shared success. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities.
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 $108,000.00-$216,000.00. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include stock.Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.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.Primary Location...
10500 Ne 8Th St, Bellevue, WA 98004, United States of America
#J-18808-Ljbffr
About Team:Our team creates reusable technologies to help with customer acquisition, onboarding, and empowering merchants, while ensuring a seamless experience for both of these stakeholders. We also optimize tariffs and assortment in accordance with Walmart's Everyday Low Cost philosophy. We not only create affordability, but we also deliver customized experiences for customers across all channels - in-store, mobile app, and websites.
What you'll do:Design, build and implement predictive models with high-dimensional, fast moving real time datasets.Own fraud/abuse risks in a product or segment of a product, be a strategic partner to product development teams, sharing insights and providing recommendations through effective communication and storytelling with data.Use machine learning, deep learning and data mining techniques to develop robust predictive models for anomaly detection such as account takeover (ATO) risk detection, E-Commerce payment fraud detection, return abuse, and Identity risk assessment.Build data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.Interested in researching about new methods, tools and techniques to address complex business problems.
What you'll bring:Technical expertise in machine learning, statistical analytical and storytelling.Proficient in machine learning and data mining packages in Python.Experience working with large data sets and distributed computing tools (GCP/BigQuery experience preferred).Programming skills in one of the following languages: Java, or JavaScript on a UNIX or Linux platform.
About Walmart Global TechImagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.3 million associates. To others, innovation looks like an app, service, or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption. 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 workWe use a hybrid way of working that is primarily virtual, while remaining near the locations Global Tech calls home. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Of course, being together in person is an important part of our culture and shared success. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities.
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 $108,000.00-$216,000.00. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include stock.Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.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.Primary Location...
10500 Ne 8Th St, Bellevue, WA 98004, United States of America
#J-18808-Ljbffr