Senior Data Scientist

21 hours ago

Silver Lake, Kansas, United States Walmart Full time
About the Role

We are seeking a highly skilled and experienced Senior Data Scientist to lead our efforts in developing sophisticated pricing models and strategies that maximize profitability and drive business growth. As a key member of our Merchandise AI Team, you will play a critical role in driving innovation and optimizing revenue through the application of advanced statistical and machine learning techniques.

Key Responsibilities
  • Algorithm Development: Lead the design, development, and deployment of advanced pricing algorithms using state-of-the-art machine learning techniques, including regression analysis, demand forecasting, dynamic pricing, and reinforcement learning.
  • Code Review: Conduct thorough code reviews of pricing algorithms and related software components developed by the team. Ensure adherence to best practices, coding standards, and optimization techniques.
  • Data Analysis and Insights: Utilize large datasets to conduct in-depth analysis of customer behavior, market dynamics, and competitive pricing strategies. Extract actionable insights to inform pricing decisions and strategy formulation.
  • Model Evaluation and Optimization: Oversee the evaluation, validation, and optimization of pricing models to ensure accuracy, reliability, and performance.
  • Collaboration and Stakeholder Engagement: Collaborate closely with cross-functional teams, including product management, engineering, marketing, and finance, to understand business objectives, requirements, and constraints.
  • Thought Leadership: Stay abreast of industry trends, best practices, and emerging technologies in pricing analytics, data science, and machine learning. Provide thought leadership and guidance on pricing strategy, methodologies, and implementation best practices.
  • Documentation and Communication: Document methodologies, findings, and recommendations in clear and concise manner. Communicate complex technical concepts and insights to non-technical stakeholders through presentations, reports, and dashboards.
Requirements
  • Masters/PHD in Computer Science with 3+ years of experience working as a Data Scientist.
  • Experience with Data Science and Machine Learning, including regression, classification, ensemble methods, deep learning, reinforcement learning, and GenAI.
  • Strong implementation experience with at least one of the programming languages, such as Python, Java, or C++.
  • Strong hands-on skills in data wrangling over massive datasets using distributed computing platforms.
  • Strong written and oral communication skills.
  • Experience in online advertising, recommender systems, search engines, e-commerce, or related areas.
  • Experience with end-to-end modeling projects emerging from research efforts.
  • Excellent academic or industrial track record of proposing, conducting, and reporting results of original research, plus collaborative research with publications.
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 experts, 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.

Benefits
  • Competitive pay and performance-based bonus awards.
  • Health benefits, including medical, vision, and dental coverage.
  • Financial benefits, including 401(k), stock purchase, and company-paid life insurance.
  • Paid time off benefits, including PTO, parental leave, family care leave, bereavement, jury duty, and voting.
  • Other benefits, including short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

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