**Immigration sponsorship is not available in this role.**
We are seeking an exceptionally talented Senior Data Scientist to join our personalization team. With a strong background in Computer Vision, Computer Science, Mathematics, or Statistics, you will be instrumental in enhancing our customer experiences and contributing to our sales growth through innovative data-driven insights. As a Senior Data Scientist for our team, you'll leverage your expertise in machine learning, deep learning and reinforcement learning to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like Large Language Models (LLM's). This role taps into the forefront of AI, offering the opportunity to innovate and shape the future of retail personalization.
About Team:
Our personalization team is dedicated to crafting tailored shopping experiences that delight our customers. By leveraging the latest advancements in computer vision, machine learning, and statistics, we strive to deliver highly relevant product recommendations and seamless shopping journeys. Join our team and be a part of shaping the future of retail!
What you'll do:
- Utilize machine learning technologies such as Java, Python, Pyspark, TensorFlow, and PyTorch to design, develop, and implement high-performance, scalable applications for personalized recommendations
- Develop and implement computer vision algorithms and models to solve complex business problems, such as object detection, image classification, and image segmentation.
- Collaborate with data engineers and software developers to design and implement data pipelines and architectures that support computer vision applications.
- Work with stakeholders across the company to understand business needs and develop data-driven solutions that drive insights and automation.
- Develop and maintain technical documentation of algorithms and models, including documentation of model performance and validation.
- Communicate findings and insights to stakeholders through clear and concise reports and presentations.
- Stay up to date with the latest developments in computer vision and machine learning and apply this knowledge to improve our products and processes.
What you'll bring:
- Educational Background: PhD degree in Computer Science, Mathematics or Statistics with 3+ years of experience in computer vision and machine learning, with a focus on developing and implementing algorithms and models.
- 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, regression models, gradient boosting algorithms, reinforcement learning, and large language models. They should be able to develop models with both structured and unstructured data sets.
- Proficiency in Programming 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.
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.
