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Walmart

Sells groceries and essentials in stores and online

Staff Data Scientist

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and four years of experience in an analytics-related field; or a master's degree in one of these fields and two years of experience in an analytics-related field; or six years of experience in an analytics or related field.
  • Expertise in data science, including predictive analytics, machine learning algorithms, statistical modeling, and hypothesis testing.
  • Strong programming skills in Python and experience with data visualization tools such as Matplotlib, Plotly, Tableau, or Power BI.
  • Hands-on experience designing, training, and deploying machine learning models, with a focus on transformer-based architectures and large language models.
  • Experience optimizing large-scale training pipelines, including hyperparameter tuning and implementing high-throughput workflows using frameworks such as PyTorch.
  • Experience applying reinforcement learning methods, such as reinforcement learning from human feedback, for preference optimization, model alignment, and safety-focused applications.
  • Ability to translate complex business requirements into analytical models and actionable business insights.
  • Verbal and written communication skills to present technical findings effectively to technical and non-technical stakeholders.

Responsibilities

  • Identify and evaluate data sources aligned with business requirements and quality standards.
  • Design, implement, and scale high-throughput supervised fine-tuning pipelines to train foundation models for instruction following, ranking, and related tasks.
  • Manage high-quality dataset mixtures and optimize training hyperparameters, including learning rate schedules and other training configurations.
  • Drive model alignment toward helpfulness, accuracy, and safety through preference optimization techniques and reinforcement learning approaches.
  • Create clear visualizations to communicate findings and recommendations to stakeholders.
  • Translate complex business challenges into data-driven solutions and actionable insights.
  • Collaborate with cross-functional teams to deploy, monitor, and improve machine learning models in production environments.
  • Mentor junior team members on analytical methodologies, coding best practices, machine learning techniques, and data storytelling.

Desired Qualifications

  • A PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
  • Experience in data science, machine learning, and optimization models.
  • Successful completion of one or more assessments in Python, Spark, Scala, or R.
  • Experience using open-source frameworks such as scikit-learn, TensorFlow, or PyTorch.
  • Background in creating inclusive digital experiences, including knowledge of implementing Web Content Accessibility Guidelines 2.2 AA standards, assistive technologies, and integrating digital accessibility into products and services.

About the Company

Walmart

Sells groceries and essentials in stores and online

Walmart sells groceries, household essentials, clothing, and electronics through stores and online marketplaces for consumers around the world. Its everyday low price model combines large purchasing volumes with distribution networks that move goods to stores and customer homes. Shoppers can browse online, collect orders at a nearby store, or request delivery, while third-party merchants use its marketplace and fulfillment services to reach customers. The group earns revenue from merchandise sales, memberships, advertising, and services, and also operates pharmacies, optical centers, and digital payments businesses. Walmart opened its first discount store in 1962 and is headquartered in Bentonville, Arkansas.

Company size
10,001+
Company stage
IPO
Headquarters
Bentonville, AR
Founded
1962

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