Walmart Global Tech India

Principal Data Scientist

Walmart Global Tech India

Bengaluru, Karnataka, India · Full Time

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Experience
10+ yrs
Salary
Openings
1
Posted
1 hafta önce
Work mode
In office
Education
PhD (preferred), Master's, or Bachelor's degree in Computer Science or strongly quantitative field
Eligibility
Open to candidates with appropriate advanced degrees and extensive experience in data science and machine learning fields, preferably in computer science or quantitative disciplines.
Resume
Required to apply

Where you'll work

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Job description

About the Team

The U.S. Technology team collaborates closely with Walmart's U.S. stores and eCommerce units to empower customers, associates, and merchants through innovative technology solutions across a wide product range. The team's key focus includes enhancing customer experience, store operations, and merchant tools by applying cutting-edge research in generative AI, machine learning, deep learning, computer vision, and optimization.

Our group comprises data scientists, application engineers, and product visionaries working jointly to design and implement AI-powered products that transform e-commerce. We build advanced machine-learning systems capable of fast A/B testing, leveraging GPU/CPU-based online inference, and supporting multi-market and multi-format operations.

Role and Responsibilities

  • Apply and develop advanced statistical modeling techniques such as deep neural networks, Bayesian models, and optimization algorithms.
  • Develop scalable and efficient models suited to Walmart’s extensive data and operational scale.
  • Work collaboratively with business, engineering, and data science teams to deliver impactful, data-driven solutions.
  • Define and monitor model performance metrics while assessing long-term business impacts.
  • Communicate complex analytical insights and recommendations clearly to business stakeholders to influence decisions.

Qualifications and Experience

  • PhD with over 10 years of relevant work experience, or Master’s degree with more than 12 years, or a Bachelor’s degree with over 14 years of relevant experience, preferably in Computer Science or another quantitative discipline.
  • Advance continual improvement of machine learning practices by staying current with and contributing to ML research trends.
  • Integrate data science models into business processes and establish best practices tailored for the retail sector.
  • Mentor junior team members and manage multiple concurrent projects.
  • Engage with academic, institutional, and vendor partners to infuse innovation into lab activities.
  • Publish and present research at top-tier machine learning and AI conferences such as NIPS, ICML, AAAI, and COLT.
  • Provide thought leadership and advisement to business units across stores and e-commerce regarding algorithm-driven strategies.

Preferred Skills and Experience

  • Experience with recommender systems and deep learning applications in computer vision.
  • Familiarity with large language models (LLMs).
  • Knowledge of the e-commerce sector.

Company Overview

Walmart Global Tech is a pioneering technology organization within the world's largest retailer, driving innovative software, data science, cybersecurity, and service initiatives that impact millions. We focus on empowering people to innovate and reshape retail through advanced technology solutions.

Work Environment and Benefits

This position is based onsite in Bangalore, India, with a flexible hybrid work policy. Employees benefit from competitive compensation, performance incentives, comprehensive health coverages, maternity and parental leave, paid time off, and inclusive workplace culture initiatives fostering respect and belonging.

Equal Opportunity Statement

We are committed to creating a diverse and inclusive workplace where every person is valued. Our hiring policies ensure equal opportunity without regard to personal characteristics or backgrounds, promoting fairness and respect throughout the company.

Level

Lead

Minimum education

Doctorate

How they work

Communication Teamwork & Collaboration Leadership

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