Staff, Data Scientist | Pricing | Sunnyvale

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Exciting Opportunity: Staff Data Scientist (Pricing Algorithms) at Walmart Global Tech

Are you a talented and experienced Staff Data Scientist with a specialty in Pricing Algorithms? Walmart Global Tech is looking for someone just like you to spearhead our complex pricing model and strategy initiatives. This pivotal role involves driving innovation and revenue optimization through advanced statistical and machine learning methodologies. You'll collaborate with a dynamic team of data scientists and cross-functional teams to refine and implement algorithms that fuel business success.

About the Team

The Merchandise AI Team, a significant part of our Applied AI group, is central to Walmart’s retail and e-commerce triumphs. This crew blends statistical analysis, machine learning algorithms, and retail operations to deliver groundbreaking solutions throughout the merchandising lifecycle—from demand forecasting to pricing optimization. We're on the cutting edge of AI, ensuring Walmart remains a leader in a rapidly changing retail world.

Core Responsibilities

Develop Pricing Models

Design, create, and implement advanced pricing models utilizing techniques such as regression analysis, demand forecasting, and optimization algorithms.

Data Analysis

Analyze extensive data sets to uncover trends, patterns, and insights about customer behavior, market dynamics, and competitive pricing strategies.

Algorithm Development

Craft and enhance algorithms for dynamic pricing, segmentation, and personalized pricing recommendations aimed at maximizing revenue and profitability.

Model Evaluation

Assess the performance of pricing models through rigorous testing, validation, and iteration to ensure their accuracy and reliability.

Collaboration

Work closely with product management, engineering, marketing, and sales teams to comprehend business needs, prioritize initiatives, and drive pricing strategy implementation.

Monitoring and Optimization

Continuously track the performance of pricing models in real-time, adjusting as necessary to evolving market conditions and business goals.

Documentation and Reporting

Detail methodologies, findings, and recommendations clearly and concisely. Produce reports and presentations to communicate insights to key stakeholders.

Stay Current

Keep abreast of industry trends, best practices, and emerging technologies in pricing analytics, data science, and machine learning to foster innovation and continuous improvement.

Requirements and Qualifications

The ideal candidate will have:

  • 5+ years of experience in data science, machine learning, and statistical analysis with a focus on pricing optimization.
  • Proficiency in Python, R, or Scala for data analysis and model development.
  • Strong analytical skills for manipulating and interpreting large datasets.
  • Experience with machine learning libraries/frameworks like TensorFlow, PyTorch, scikit-learn, or Spark ML.
  • Extensive knowledge of pricing concepts, methodologies, and strategies in retail or e-commerce.
  • Excellent communication skills for articulating complex concepts to diverse audiences.
  • Demonstrated ability to independently drive projects to completion in a fast-paced environment.

Preferred Qualifications

  • Experience with cloud platforms such as Azure or Google Cloud Platform.
  • Knowledge of A/B testing, experimental design, and causal inference techniques.
  • Contributions to the data science community through research papers, open-source projects, or blogs.

About Walmart Global Tech

At Walmart Global Tech, a single line of code can simplify life for millions. Our team comprises software engineers, data scientists, cybersecurity experts, and service professionals within the world's biggest retailer. We innovate for people and are driven by them, continuously enhancing our tech capabilities. Whether you're starting your tech career or seeking a role that will define it, Walmart offers unparalleled opportunities to make an impact, gain new skills, and reimagine the future of retail.

Flexible, Hybrid Work

We embrace a hybrid work model that balances office time with virtual collaboration. Our campuses are collaboration hubs that help us make quick decisions, remove geographical barriers, and balance our personal lives better.

Comprehensive Benefits

Walmart offers a robust compensation package, including performance-based bonuses, 401(k) match, stock purchase plan, paid parental leave, multiple health plans, PTO, and much more. Other benefits include:

  • Medical, vision, and dental coverage