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As a Research Scientist in the Product Intelligence team, you will contribute to the exploration and research of advanced science solutions to better represent, model, predict and understand the inter-relation between product features, price signals, and price competitiveness.Your work will leverage the latest in Statistics, Machine Learning, Graph Theory, GenAI/LLMs, Deep Learning, Active Learning, and Reinforcement Learning to enhance product understanding, and develop advanced explainability capabilities and price reasoning methods for a deeper understanding of products and pricing competitiveness.You will also lead research projects to tackle pricing-related unsolved problems, mentor interns, and author academic papers to summarize your findings for external publication.We seek an experienced scientist with deep knowledge of Statistical foundations, AI, ML, DL, RL, and GenAI. The role will also require cross-functional collaboration skills, and staying up to date with the latest advancements in Generative AI, model explainability, quantile-regression models, etc.Key job responsibilitiesImplement and deploy systems that leverage ML, DL, RL and other techniques to address some of hardest problems in the pricing space.
Lead research projects and participate in the publication of external academic papers at top conferences and journals.
- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets
- Knowledge of R, MATLAB, Python or similar scripting language
- Experience with agile development
- Experience building web based dashboards using common frameworks
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