(USA) Staff, Data Scientist

Posted 2 Days Ago
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Sunnyvale, CA, USA
Hybrid
143K-286K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Role
Develops predictive models and scalable machine-learning solutions for search and personalization. Responsibilities include sourcing and governing data, exploratory analysis, feature engineering, model validation and deployment, visualization, stakeholder collaboration, and mentoring junior data scientists. The role applies advanced statistics, deep learning, and generative AI to solve complex business problems and improve operational and customer outcomes.
Summary Generated by Built In
Position Summary...

What you'll do...Role summary:
The (USA) Staff, Data Scientist plays a critical role in leveraging advanced analytics, machine learning, and data visualization to drive informed business decisions. This position requires expertise in identifying and sourcing relevant data, developing and validating predictive models, and deploying scalable solutions. The role involves collaborating with cross-functional teams to translate complex business challenges into data-driven strategies, ensuring alignment with organizational goals. The successful candidate will also mentor associates, promote best practices in data science, and contribute to continuous improvement initiatives that enhance operational efficiency and business value.
About the team:
The Applied AI team develops advanced Search and Personalization solutions to improve product discovery and the shopping experience. Utilizing machine learning, deep learning, and generative AI, the team builds scalable systems aligned with business objectives. Members collaborate by applying expertise in algorithms, data analysis, and solution design to deliver impactful results. The team fosters a professional environment focused on technical excellence, continuous improvement, and customer-centered innovation, driving significant advancements in data science and artificial intelligence across the organization.
What you'll do:
  • Identify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.
  • Develop and implement data strategies aligned with business objectives, focusing on data management, governance, and scalability.
  • Design, build, and validate predictive models using advanced machine learning and statistical techniques to solve complex business problems.
  • Create clear, insightful data visualizations and reports to communicate findings effectively to stakeholders.
  • Collaborate with cross-functional teams to translate business requirements into analytical solutions and support decision-making.
  • Mentor junior team members on modeling techniques, data interpretation, and best practices.

What you'll bring:
  • Proven expertise in predictive analytics, machine learning algorithms, and advanced statistical modeling techniques.
  • Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI.
  • Strong understanding of data strategy, including data quality, governance, and scalable data storage solutions.
  • Experience in model assessment, validation, deployment, and continuous monitoring using appropriate evaluation metrics.
  • Ability to translate complex business problems into data-driven solutions with domain knowledge across multiple business functions.
  • Skilled in exploratory data analysis, feature engineering, and applying AI and deep learning methods.
  • Effective communication skills to present insights and guide junior team members.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

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.

Primary Location...

815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Skills Required

  • Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, plus 4 years of experience in an analytics-related field
  • Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, plus 2 years of experience in an analytics-related field
  • 6 years of experience in an analytics or related field
  • Expertise in predictive analytics, machine learning algorithms, and advanced statistical modeling
  • Proficiency in Python and data visualization tools such as Matplotlib, Plotly, Tableau, or Power BI
  • Understanding of data quality, data governance, data strategy, and scalable data storage solutions
  • Experience with model assessment, validation, deployment, and continuous monitoring
  • Ability to translate complex business problems into data-driven solutions
  • Experience with exploratory data analysis, feature engineering, AI, and deep learning methods
  • Effective communication skills and ability to mentor junior team members
  • Data science, machine learning, and optimization model experience
  • PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics
  • Successful completion of assessments in Python, Spark, Scala, or R
  • Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch
  • Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices

Walmart Global Tech Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.

  • Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
  • Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
  • Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.

Walmart Global Tech Insights

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The Company
HQ: Bentonville, AR
578,950 Employees

What We Do

Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.

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