Job Opportunity: Staff Data Scientist - Multilingual Experiences at Walmart eCommerce

Position Summary

At Walmart eCommerce, we are dedicated to connecting customers with the right products at the best prices. As part of the Fortune #1 enterprise, your contributions will be visible to millions of daily visitors to our online marketplace. Our shoppers are diverse in language, cuisine, geo-location, and terminology. For instance, the US has the second-largest community of Spanish speakers in the world, using more than 10 different ways to refer to “popcorn”! We strive to cater to all equally, leveraging AI breakthroughs that impact all aspects of our lives.

If you are passionate about building efficient machine learning (ML) solutions to satisfy the needs of millions of customers, our team is your ideal match. Join us in a role where you will harness the power of AI to create significant impacts.

Responsibilities

You’ll make an impact by:

• Analyzing, designing, implementing, and evaluating ML systems for Machine Translation, Localization, Contextualization, and Personalization.
• Contributing to research paths that deliver the best accuracy and quality in natural language processing (NLP) tasks.
• Expanding the reach of ML technologies for multilingual and localization purposes.
• Collaborating with product managers and business teams to understand and define business problems, formulating data-driven and ML-based solutions.

Qualifications

You’ll bring value to the team because you:

• Proactively seek perfection in AI systems.
• Are proficient in Spanish, English, and Python.
• Hold a PhD or master’s degree in CS, CE, ML, with 3+ years of experience in an industry domain related to NLP.
• Are obsessed with the accuracy, quality, impact, and efficiency of ML systems.
• Enjoy manipulating large volumes of data.
• Can leverage Transformers and LLMs to solve Seq2Seq tasks like Neural Machine Translation (NMT).
• Have hands-on ML experience with PyTorch or TensorFlow, or specific tools like MarianNMT or openNMT.
• Bring end-to-end ML experience, from vision to research, proof of concept, production, and launch.

About Walmart Global Tech

We are 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 people; being human-led is our true disruption.

At Walmart, we offer competitive pay, performance-based bonuses, and other great benefits to ensure a happier mind, body, and wallet. Health benefits include medical, vision, and dental coverage. Financial benefits include 401(k), stock purchase, and company-paid life insurance. Paid time off benefits encompass PTO, parental leave, family care leave, bereavement, jury duty, and voting. Additional benefits include short-term and long-term disability, company discounts, military leave pay, adoption and surrogacy expense reimbursement, and more.

Furthermore, Walmart offers the Live Better U program—a fully-paid education benefit for full-time and part-time associates. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are entirely paid by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific plan or program terms.

Compensation

The annual salary range for this position is $110,000.00-$220,000.00. Additional compensation includes annual or quarterly performance bonuses and may also include stock for certain positions.

Minimum Qualifications

Outlined below are the required minimum qualifications:

• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, with 4 years of experience in an analytics-related field OR
• Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, with 2 years of experience in an analytics-related field OR