Address
Form of workPosition Summary...
What you'll do...
We are looking for Full-Stack Data Scientists to join us in building world class solutions at Walmart scale. You will play a key role in developing, automating, scaling, and implementing solutions that tackle diverse business problems. There are ample opportunities to enrich your knowledge and skillset that will accelerate your ML Engineering career.
As a Walmart Senior Data Scientist, we are looking for a sharp, thoughtful, and collaborative problem solver, who enjoys building data science solutions to enable strategic decision making and then developing and scaling advanced solutions into a Walmart-wise Automated ML service and platform.
About the Team:
Marketplace Applied AI team builds reusable technologies that aid in acquiring customers, onboarding and empowering merchants besides ensuring a seamless experience for both these stakeholders. We also optimize tariffs and assortment, adhering to the Walmart philosophy - Everyday Low Cost. In addition to ushering in affordability, we also create personalized experiences for customers the omnichannel way, across all channels - in-store, on the mobile app and websites. Marketplace is the gateway to domestic and international Third-Party sellers; we enable them to manage their end-to-end onboarding, catalog management, order fulfilment, return & refund management. Our team is responsible for design, development, and operations of large-scale distributed systems by leveraging cutting-edge technologies in web/mobile, cloud, big data & AI/ML. We interact with multiple teams across the company to provide scalable robust technical solutions.More about Marketplace: https://marketplace.walmart.com/
What You'll Do:
As a Senior Data Scientist/ ML Engineer for Global Marketplace team at Walmart, you'll have the opportunity to be responsible for building scalable end-to-end data science solutions for our data products.
What you'll Bring...
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 duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
About 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 expert's 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, impact millions and reimagine the future of retail.
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. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
Benefits & Perks:
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...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no 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...
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)
Primary Location...
603 MUNGER AVE STE 400, DALLAS, TX 75202, United States of America
What you'll do...
We are looking for Full-Stack Data Scientists to join us in building world class solutions at Walmart scale. You will play a key role in developing, automating, scaling, and implementing solutions that tackle diverse business problems. There are ample opportunities to enrich your knowledge and skillset that will accelerate your ML Engineering career.
As a Walmart Senior Data Scientist, we are looking for a sharp, thoughtful, and collaborative problem solver, who enjoys building data science solutions to enable strategic decision making and then developing and scaling advanced solutions into a Walmart-wise Automated ML service and platform.
About the Team:
Marketplace Applied AI team builds reusable technologies that aid in acquiring customers, onboarding and empowering merchants besides ensuring a seamless experience for both these stakeholders. We also optimize tariffs and assortment, adhering to the Walmart philosophy - Everyday Low Cost. In addition to ushering in affordability, we also create personalized experiences for customers the omnichannel way, across all channels - in-store, on the mobile app and websites. Marketplace is the gateway to domestic and international Third-Party sellers; we enable them to manage their end-to-end onboarding, catalog management, order fulfilment, return & refund management. Our team is responsible for design, development, and operations of large-scale distributed systems by leveraging cutting-edge technologies in web/mobile, cloud, big data & AI/ML. We interact with multiple teams across the company to provide scalable robust technical solutions.More about Marketplace: https://marketplace.walmart.com/
What You'll Do:
As a Senior Data Scientist/ ML Engineer for Global Marketplace team at Walmart, you'll have the opportunity to be responsible for building scalable end-to-end data science solutions for our data products.
- Work closely with data engineers and data analysts to help build ML- and statistics-driven data quality and continuous data monitoring workflows.
- Solve business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data.
- Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management.
- Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping.
- Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice and drive innovation.
- Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
What you'll Bring...
- Knowledge of the foundations of Machine Learning and Statistics
- Experience with web service standards and related patterns (REST, gRPC)
- Experienced in architecting solutions with Continuous Integration and Continuous Delivery in mind.
- Familiar with distributed in-memory computing technologies.
- Solid experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems.
- Strong Python coding and package development skills
- Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and MapReduce.
- Ability to work in a big data ecosystem - expert in SQL/Hive and ability to work with Spark.
- Able to refactor data science code and has collaborated with Data Scientists in developing ML solutions.
- Experience playing the role of full-stack Data Scientist and taking solutions to production.
- Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring.
- Educational qualifications should be preferably in Computer Science, Statistics, Engineering, or a related area.
- Good effective communication (both written and verbal) skills and the ability to present complex ideas in a clear & concise way, to different audiences. A team player with good work ethics
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 duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
About 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 expert's 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, impact millions and reimagine the future of retail.
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. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
Benefits & Perks:
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...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no 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...
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)
Primary Location...
603 MUNGER AVE STE 400, DALLAS, TX 75202, United States of America
