Senior Data Scientist (MLE)

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Position Summary...
What you'll do...
Here at Walmart, we're driven by an intellectual curiosity that keeps us on the cutting-edge of user design and a seamless customer experience. We're intrigued by the opportunity to engineer the most optimal approach that drives conversions and generates consumer loyalty across every touchpoint of the digital journey.
As a Senior Machine Learning Engineer, you'll spend your days testing, optimizing , and deploying various NLP models and solutions, as well as helping esta blish best practices for models' deployment, monitoring, and risk assessment. You will work closely with Data Scientists and Researchers on your team to help them productionize their solutions.
Now, imagine doing all the above for the world's largest retailer. That's the Walmart experience. Intrigued?
You'll really wow us if... • Your ability to rise above group think and see beyond the here and now is matched only by your intellectual curiosity.• You come to the table with a comprehensive knowledge of Machine Learning Engineering (experience with NLP is a plus), Python and PyTorch , Kubernetes, Az ure an d G CP , as well as Agile methodologies.• You consider yourself to be a student of the world who thrives in an ever-changing environment that holds within it new challenges and chances to prove your expertise.• You level up when you have the opportunity to teach others and empower those around you to excel.
You'll make an impact by... • Effectively translating requirements into project parameters while working with agility from cradle to grave.• Helping cross-functional teams to solve for business problems and develop solutions that enable us to redefine a "best-in-class" customer experience.• Encouraging the project teams that you oversee to work collaboratively and to aim for insight-driven outcomes.
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.
Benefits & Perks:
Beyond competitive pay, 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.
About The Team
As a member of NexTech group, you'll be responsible for optimizing and deploying various NLP models that power our Conversational AI solutions as part of the ongoing effort to optimize internal processes and delivery protocols. You'll operate as a trusted advisor as it relates to efficiencies and best practices. As a senior member of the team, you'll be able to say that you work for the world's largest retailer and contribute to the development of best-in-class methodologies that impacte d perceptio n and drastically changed business as we know it.
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.
About Global Tech
Imagine 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 2.2 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're virtual
Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting . Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. We'll collaborate in person at a regular cadence and with purpose.
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.
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...
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

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