Principal Data Scientist, Pricing

Walmart

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Quick summary

Work type: On-site
Location: Bentonville, ARSunnyvale, CA
Employment: Full-time
Posted: 84 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $190k

$132k $247k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $165,000–$214,500.

Based on 240 similar postings.

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About Walmart

Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail

Walmart currently has 825 open roles on FindRole.

Listed pay typically runs $121,000–$242,000 across 473 roles with salary data.

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At a glance

TL;DR · Principal Data Scientist, Pricing

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JOB TITLE: Principal, Data Scientist (Pricing) The Applied AI team is seeking a Principal Data Scientist (Pricing) to lead the development of sophisticated pricing models and strategies. You will provide strategic leadership to define the roadmap for pricing optimization initiatives while leading a team to design, develop, and deploy advanced algorithms. Day-to-day responsibilities include conducting code reviews, performing in-depth data analysis on customer behavior and market dynamics, and overseeing model evaluation to ensure reliability. You will utilize Python, R, or Scala alongside frameworks like scikit-learn, TensorFlow, and Torch. The role involves applying classical machine learning, deep learning, reinforcement learning, causal inference, and operations research to solve complex retail challenges, including demand forecasting, dynamic pricing, and price elasticity to maximize profitability and influence business strategy.

What does a Data Scientist earn in California?

Median $214500 from 114 postings across 26 companies.

See salary data

Skills

Python R Scala Spark TensorFlow scikit learn Machine Learning Deep Learning Reinforcement Learning Causal Inference Regression Analysis Demand Forecasting Optimization Statistics Operations Research Data Analysis

What you'll do

Define the vision, roadmap, and priorities for pricing optimization initiatives.
Lead the design, development, and deployment of advanced pricing algorithms using machine learning.
Conduct thorough code reviews to ensure adherence to best practices and coding standards.
Analyze large datasets to extract actionable insights on customer behavior and market dynamics.
Oversee the evaluation, validation, and optimization of pricing models for accuracy and performance.
Translate business needs into data-driven pricing solutions by collaborating with cross-functional teams.
Document methodologies and communicate complex technical concepts to non-technical stakeholders.
Mentor junior team members on technical and methodological aspects of pricing analytics.

What we're looking for

Ph.D. or equivalent advanced degree in Computer Science, Statistics, Mathematics, Economics, or a related field.
Option 1: Bachelor's degree in a related field and 5 years of experience in an analytics-related field.
Option 2: Master's degree in a related field and 3 years of experience in an analytics-related field.
Option 3: 7 years of experience in an analytics or related field.
Extensive experience in data science, machine learning, and statistical analysis with a focus on pricing optimization.
Expertise in programming languages such as Python, R, or Scala for data analysis and model development.
Proven track record of building and deploying pricing algorithms or models in a real-world setting.
Deep knowledge of machine learning algorithms and techniques applied to pricing problems.
PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics (preferred).
Publications or active peer reviewer in related journals or conferences (preferred).
Successful completion of one or more assessments in Python, Spark, Scala, or R (preferred).
Experience using open source frameworks such as scikit-learn, tensorflow, or torch (preferred).
Knowledge of creating inclusive digital experiences and implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards (preferred).

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