Job Description

Walmart Global Tech is looking to hire an exceptionally talented Staff Data Scientist for their Personalization team in Sunnyvale to support the Personalization and Recommendation development efforts with our eCommerce team.

The Staff Data Scientist will be a key player in our Data Science team, spearheading AI initiatives, research, and development of algorithmic solutions to construct extensive , personalized recommendations and content generation models (visual and textual content) for our omni-channel retail platform. This role will explore and implement cutting-edge technologies, presenting an exciting opportunity to innovate and shape the future of retail personalization.

As the Staff Data Scientist , you'll be responsible for the comprehensive implementation of Machine Learning algorithms and features, guiding a scrum team and working in synergy with a skilled team of Product Managers and Technologists to implement ML/AI solutions at scale. This role offers a unique chance to combine retail industry insights with machine learning algorithms, disrupting traditional business practices to reach our ambitious growth goals.

About Team :

Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.

What you'll do :

• Leverage machine learning technologies such as Java, Python, Pyspark, Tensorflow, and PyTorch to design, develop, and implement high-performance, scalable applications for personalized recommendations.
• Create robust machine learning models using structured and unstructured data sets and advanced algorithms, including Neural Networks, Regression Models, and Gradient Boosting Algorithms .
• Collaborate with data engineers and software developers to design and implement data pipelines and architectures that support recommendations at scale.
• Work with stakeholders across the company to understand business needs and develop data-driven solutions that drive insights and automation.
• Communicate findings and insights to stakeholders through clear and concise reports and presentations.
• Stay up to date with the latest developments in machine learning and apply this knowledge to improve our products and processes.

What you'll bring :

• Education : PHD or Masters in Computer Science, Statistics or Mathematics with 3+ Years of Industry Experience.
• Deep Understanding of Machine Learning and AI : The candidate should possess a robust understanding of various machine learning algorithms, artificial intelligence, and deep learning techniques. This includes but is not limited to neural networks, gradient boosting algorithms, reinforcement learning, and large language models. They should be able to develop models with both structured and unstructured data sets.
• Deep understanding of reinforcement learning techniques : Candidates should have a strong background in reinforcement learning, long-term reward optimization, deep Q-learning.
• Proficiency in Programming, SQL and Data Analysis : The candidate should be highly proficient in languages such as Java, Python, PySpark, and have experience with machine learning frameworks like Tensorflow and PyTorch. They should be capable of using these technologies to design and develop high-performance applications. Additionally, they should have strong knowledge in data analysis methods like dimensionality reduction, predictive modelling, clustering, text mining for effective feature engineering.
• Experience in Large Scale Applied ML Model Building : The candidate should have a prior track record of successfully building, deploying, and maintaining large-scale machine learning models in a production environment. This includes handling large volumes of data, optimizing model performance, and ensuring the scalability of the solution.
• Innovation and Problem-Solving Skills : As the role involves working with new technologies, the candidate should have the ability to innovate and solve complex problems. They should be able to adapt to new technologies quickly and find creative solutions for various business problems.

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.

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 unique styles, experiences, identities, ideas and opinions while being welcoming 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

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