Senior, Data Scientist | NLP/CV | Market Intellige... at Walmart in Sunnyvale, California

Job Description:

What you'll do at



Position Summary...


What you'll do...



Walmart Golbal Tech is looking to hire a Senior Data Scientist for our Sunnyvale/Bellevuelocation. You would be working on challenging problems leveraging Machine Learning and Deep Learning Techniques to generate tangible and immediate business impact. As a Senior Data Scientist for Walmart Labs, you'll be required to shape and deliver on the MINT data sciences charter.


Are you a technically strong and high performing individual with experiencein machine learning and deep learning, excellent communication skills, proven analytical skills and strong customer focus? Do you stay updated with latest research and technology ideas and have a passion to utilize innovative ways to solve problems? Are you a good storyteller and able to simply articulate the intricacies of your models as well as explain your results clearly to stakeholders?



About Team: Market Intelligence (MINT)

Market Intelligence (MINT) team at Walmart Labs, delivers on the promise of EDLP (Every Day Low Prices) to our customers. It is focused on generating actionable insights for pricing, assortment, marketing optimization purpose for stores and e-commerce business across geographies leveraging market intelligence. Our systems are built leveraging cutting edge open-source technologies.



What you'll do:

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  Analytical Modeling: Feature relevance and selection. Exploratory data analysis methods and techniques. Advanced statistical methods and best-practice advanced modelling techniques (e.g., graphical models, Bayesian inference, NLP, Computer Vision, neural networks, SVM, Random Forest etc.)


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  Deep Learning: Experience in fine tuning Large Language Models and Vision Models. Experience with model compression methods like distillation and quantization and related inference optimizations methods.


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  Model Assessment & Validation: - Model fit testing, tuning, and validation techniques (e.g., Chi square, ROC curve, root mean square error etc.). Impact of variables and features on model performance.


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  Model Deployment & Scaling: Impact of variables and features on model performance. Understanding of servers, model formats to store models.


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  Data Visualization: Generates appropriate graphical representations of data and model outcomes under guidance. Supports the understanding of customer requirements and designs data representations for simple data sets. Presents to and influences the team using the appropriate frameworks and conveys messages through basic business understanding.

What you'll bring:

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  Master's Degree with > 4+ years of relevant experience OR PhD with > 2+ years of relevant experience in Computer Science, Statistics, Information Technology, Operations Research, or a related field


• Proficiency in Python.


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  Hands-on experience in Large Language Models, Generative AI, NLP, Machine Learning and Deep Learning techniques.


• Experience in open-source frameworks and packages like scikit-learn, Numpy, Pandas, matplotlib, and Pytorch/Tensorflow.


• Knowledge of experimental design and A/B testing
  

About Walmart 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:

Benefits: 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.


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 responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.


At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for 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 include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
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You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
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For information about PTO, see https://one.walmart.com/notices.


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Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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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 a specific plan or program terms.
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For information about benefits and eligibility, see One.Walmart.


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Bellevue, Washington US-11075:The annual salary range for this position is $108,000.00-$216,000.00
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Sunnyvale, California US-07003:The annual salary range for this position is $117,000.00-$234,000.00
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Bentonville, Arkansas US-10735:The annual salary range for this position is $90,000.00-$180,000.00
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Additional compensation includes annual or quarterly performance bonuses.
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Additional compensation for certain positions may also include:
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- Stock
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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), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.




Primary Location...



860 W California Avenue, Sunnyvale, CA 94086-0000, United States of America



About Walmart



At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability-and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries-all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?


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.


"At Walmart, we get the opportunity to grow professionally and personally-all while improving how we work and what we deliver to consumers." - Lola, Project Analyst



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