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Position Summary...

What you'll do...

Walmart Global Tech is seeking a talented and experienced Staff Data Scientist specializing in Pricing Algorithms to lead our efforts in developing sophisticated pricing models and strategies . As a Staff Data Scientist , you will play a critical role in driving innovation and optimizing revenue through the application of advanced statistical and machine learning techniques. You will work with a team of data scientists and collaborate closely with cross-functional teams to develop and implement pricing algorithms that maximize profitability and drive business growth.

About Team :

Our Merchandise AI Team within Applied AI group is the driving force behind our retail and e-commerce success, leveraging cutting-edge AI and machine learning techniques to optimize every aspect of our merchandising strategy. With a diverse blend of expertise in statistical analysis, machine learning algorithms, and retail operations , our team pioneers innovative solutions across the merchandising lifecycle, from demand forecasting and assortment planning to pricing optimization. We're dedicated to building algorithms that empower stakeholders throughout the organization to make informed, data-driven decisions, ensuring that we stay ahead of the curve in an ever-evolving retail landscape.

What you'll do :

• Develop Pricing Models: Design, develop, and implement advanced pricing models using statistical and machine learning techniques such as regression analysis, demand forecasting, and optimization algorithms.

• Data Analysis: Analyze large datasets to identify trends, patterns, and insights related to customer behavior, market dynamics, and competitive pricing strategies.

• Algorithm Development: Develop and refine algorithms for dynamic pricing, segmentation, and personalized pricing recommendations to maximize revenue and profitability.

• Model Evaluation: Evaluate the performance of pricing models through rigorous testing, validation, and iteration to ensure accuracy, reliability, and robustness.

• Collaboration: Collaborate with cross-functional teams including product management, engineering, marketing, and sales to understand business requirements, prioritize initiatives, and drive the implementation of pricing strategies.

• Monitoring and Optimization: Continuously monitor the performance of pricing models in real-time and make adjustments as necessary to respond to changing market conditions, customer preferences, and business goals.

• Documentation and Reporting: Document methodologies, findings, and recommendations in clear and concise manner. Generate reports and presentations to communicate insights and recommendations to key stakeholders.

• Stay Current: Stay abreast of industry trends, best practices, and emerging technologies in pricing analytics, data science, and machine learning to drive innovation and continuous improvement.

What you'll bring :

• Proven experience (5+ years) in data science, machine learning, and statistical analysis, with a focus on pricing optimization .

• Proficiency in programming languages such as Python, R, or Scala for data analysis and model development .

• Strong analytical skills with the ability to manipulate, interpret, and derive insights from large datasets.

• Experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, or Spark ML .

• Solid understanding of pricing concepts, methodologies, and strategies in retail, e-commerce, or related industries.

• Excellent communication and collaboration skills with the ability to effectively communicate complex concepts to both technical and non-technical audiences.

• Demonstrated ability to work independently and drive projects to completion in a fast-paced, dynamic environment.

Preferred Qualifications :

• Experience with cloud platforms such as Azure or Google Cloud Platform.

• Experience with A/B testing, experimental design, and causal inference techniques ..

• Publications or contributions to the data science community (e.g., research papers, open-source projects, blog posts) would be a plus.

About Walmart Global Tech :

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Flexible, Hybrid Work :

We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.

Benefits :

Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer :

Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

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.

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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.

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For information about PTO, see https://one.walmart.com/notices .

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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.

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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.

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For information about benefits and eligibility, see One.Walmart .

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The annual salary range for this position is $143,000.00-$286,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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• Stock

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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...

640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America

Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.