(USA) Staff, Data Scientist - Multilingual Experiences

Position Summary...

What you'll do...

At Walmart eCommerce we connect customers with the right products for the best price. As part of the Fortune #1 enterprise, your contributions will be visible to millions that come every day to our online marketplace. Shoppers are quite diverse on various dimensions, including language, cuisine, geo-location and terminology. We strive to help them all equally. For example, the US is home to the 2nd largest community of Spanish speakers in the world which uses more than 10 different ways to refer to "popcorn"!

This role belongs to an era where breakthroughs in AI are impacting all aspects of our lives. If you're passionate about finding the right tech to build efficient ML solutions that satisfy the needs of millions of customers, then look no further, our team will find the way to meet your passion!

You'll make an impact by:

• Analyzing, designing, implementing, and evaluating ML systems for Machine Translation, Localization, Contextualization and Personalization.

• Contributing to a research path that delivers the best accuracy and quality in NLP tasks.

• Expanding the reach of ML technologies for multilingual and localization purposes.

• Collaborating with product managers and business teams on the understanding and definition of business problems, in order to properly formulate data driven and ML based solutions.

You'll bring value to the team because you proactively seek perfection in AI systems, and:

• You are proficient in Spanish, English... and Python.

• You hold a PhD or a master's degree in CS, CE, ML, with 3+ years of experience, in an industry domain related to NLP.

• You are obsessed with accuracy, quality, impact, and efficiency of ML systems.

• You see the value and enjoy the challenge of manipulating large volumes of data.

• You can leverage Transformers and LLMs to solve Seq2Seq tasks like NMT.

• Your hands on ML experience includes PyTorch or TensorFlow, ... or maybe something more specific like MarianNMT or openNMT.

• You will be there in our ML journeys, from vision, to research, PoC, production and launch, so bringing end-to-end ML experience to the team would be very appreciated.

About Walmart Global Tech

We're a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world's largest retailer. We deliver innovations that improve the experience of our customers and our 2.2 million associates. Walmart has always been about the people. 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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 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, PhD 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...

2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of America

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, abilities, ideas and opinions- while being inclusive of all people.