Staff, Data Scientist
About The Position
We are at the forefront of attacking one of the most complex problems of e-commerce. Whenever a user types in a query or browses through product categories on our website or mobile app, our service goes to work. We mine billions of search queries and tens of millions of products to find the most relevant products for our customers. Team members take end-end responsibility in analyzing large amounts of data, creating complex models, improving their accuracy, and deploying these models to serve customers. As part of this team, you'll solve some of the most fascinating and impactful problems in machine learning, information retrieval, NLP or computer vision. The algorithms you develop will champion customers’ need to express their intent and our goal to understand their preferences, implicitly or explicitly across devices and modalities (voice, text, image etc.). You will develop and deploy machine learned models, to engage and converse with our customers and to understand their goals and expectations to enable them to make the right purchase decision. Your work will be visible to millions of customers and you will have a direct impact on the goals of the company. If you speak and think machine learning then we want to talk to you. Come join our team and be part of this exciting journey. Immigration Sponsorship support will NOT be available for this position.
Requirements
- At least 5 years of work and research experience in the machine learning field with a deep understanding of machine learning and interest in applying it at scale.
- Experience with data cleaning, preparation, featurization, and selection techniques.
- Experience working with large data sets to solve problems.
- Experience with deep learning library like TensorFlow and/or PyTorch is highly desirable as well as experience with Spark and/or Hadoop.
- Hands-on experience with Python, Java, or Scala and the ability to write reusable and efficient code to automate machine learning pipelines and data processes.
- Effective communication, interpersonal, and teamwork skills.
- Ability to handle multiple concurrent projects while working independently and in teams.
- Can work in a fast-paced and deadline driven environment.
- Ph.D. or Master’s degree in Computer Science, Statistics, Artificial Intelligence, Operations Research, Mathematics, Electrical Engineering, Computational Linguistics or related fields.
Nice To Haves
- 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)
- 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.
Responsibilities
- Applying machine learning algorithms to maximize the relevance of search system and minimize risks.
- Building, validating, testing, and deploying predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems.
- Identifying, collecting, and exploring the right data used for predictive modeling and algorithm development.
- Performing and leading developments using machine learning techniques in one or more of the key areas like natural language processing, computer vision, information retrieval, entity recognition, product classification, and recommendation system.
Benefits
- 401(k) match
- stock purchase plan
- paid maternity and parental leave
- PTO
- multiple health plans
- flexible working hours
- performance-based bonus awards
- company-paid life insurance
- short-term and long-term disability
- company discounts
- Military Leave Pay
- adoption and surrogacy expense reimbursement
- PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes
- Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities (Live better U)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
