Data Scientist, Machine Learning Engineer at Walmart (Dallas, TX)

| Dallas-Fort Worth, TX
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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.
We are looking for a Machine Learning Engineer (MLE) to help us create artificial intelligence products. He/she will collaborate with product manager, product solution architect, tech leads and multi-disciplinary engineers to define, develop and deploy an actual production solution that uses AI/ML. Responsibilities include:
Designing and developing MLOps for machine learning and deep learning systems for NLP applications according to requirements
Implementing appropriate ML algorithms
Running machine learning tests and experiments
Train and retrain systems when necessary
Perform statistical analysis and fine-tuning using test results
Extend existing ML libraries and frameworks
Study and transform data science prototypes
Select appropriate datasets and data representation methods
Research and implement appropriate ML algorithms and tools
Keep up to date of developments and best practices in the field
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.• Proven experience as a Machine Learning Engineer or similar role• Has a fundamental understanding of data science.• Understanding of data structures, data modeling and software architecture• Deep knowledge of math, probability, statistics and algorithms• Ability to write robust code in Python, Java and R• Familiarity with machine learning frameworks related to NLP.• Excellent communication skills• Ability to work in a team that shares knowledge by default• Outstanding analytical and problem-solving skills• BSc in Computer Science, Mathematics or similar field; Master's degree is a plus• 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.• Experience in developing MLOps.• Comfortable with fast-paced, fluid and ambiguous situations.• Experience in deploying containerized models using tools such as Docker or Kubernetes• Experience in hiring and developing junior members
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.
About The Team
As a member of the of the Machine Learning Engineering group, you'll be responsible for evaluating large data science models and optimizing them to be deployed while ensuring code efficiency, including but not limited to data engineering, basic hyper parameter tuning, troubleshooting data & model drift. In addition, the team is accountable for maintaining, training, monitoring, scaling, and improving machine learning solutions in production through MLOps while establishing robust documentation standards. We are currently focused on building engineering solutions focused on the domains of associate relations, finance, and global governance. You'll operate as a trusted advisor as it relates to efficiencies and best practices. As a member of the team, you'll be able to say that you work for the world's largest retailer and contribute to the development to best-in-class methodologies that help lead the next retail disruption.
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.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no 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.
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
More Information on Walmart
Walmart operates in the Food industry. The company is located in Bentonville, AR, San Bruno, CA and Sunnyvale, CA. Walmart was founded in 2022. It has 578950 total employees. It offers perks and benefits such as Flexible Spending Account (FSA), Disability Insurance, Dental Benefits, Vision Benefits, Health Insurance Benefits and Life Insurance. To see all 662 open jobs at Walmart, click here.
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