Data Scientist(Search and recommendation)

Overview

Remote
Depends on Experience
Contract - W2
Contract - 6 Month(s)

Skills

NLP
Machine Learning
Deep Learning
Optimization
Algorithm
Search
recommendation

Job Details

Data Scientist – All Levels (Entry, Senior, and Staff)
We are seeking passionate and innovative Data Scientists to join our science team and develop state-of-the-art models to power Product Search and Recommendation across Walmart’s multiple international markets. Our mission is to deliver a delightful user experience throughout the online shopping journey by solving intricate real-world problems with advanced AI and ML solutions.
As part of our team, you will have the opportunity to push the frontiers of Search & Recommendation Science, working on areas such as AI, Machine Learning, NLP, Optimization, Algorithms, and customer-facing large system designs.

Responsibilities

Partner with data scientists, engineers, and product managers to design, train, test, and deploy machine learning models.
Work on ambiguous projects, translating business and engineering requirements into clear roadmaps for delivering ML models.
Develop innovative solutions by leveraging bleeding-edge academic research and industry practices.
Perform rigorous offline and A/B testing to evaluate model performance, and communicate findings to technical and non-technical stakeholders.
Maintain and enhance existing models, integrating cutting-edge research into scalable infrastructure.
Act as a mentor to junior data scientists (as applicable), guiding their development and onboarding processes.
Serve as a technical lead and technology expert within the organization (for senior roles).
Publish research and findings in peer-reviewed conferences, journals, or through internal platforms, and contribute to patent filings.

Requirements

Education: MS/PhD in Computer Science, Machine Learning, Operations Research, Applied Mathematics, Statistics, or related technical fields.

Technical Expertise:

Strong foundation in NLP, Machine Learning, Deep Learning, Optimization, Algorithms, and software development.
Proficiency in Python, SQL, PySpark, and ML libraries; experience with big data processing in cloud environments is expected.

Prior experience in Search and Recommendation Systems and Generative AI is highly desirable.
Impactful Contributions: Demonstrated ability to build ML models or deliver impactful customer-facing products.
Research & Innovation: A track record of publications in peer-reviewed conferences and journals or patent filings is a bonus.

About You
You are driven by curiosity and innovation, eager to solve complex problems, and dedicated to advancing the field of Search & Recommendation Science. Whether you are just starting your career or are a seasoned expert, you thrive in collaborative environments and are excited by the opportunity to shape cutting-edge solutions for millions of users worldwide.

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