Hiring: Pricing Data Scientist Company: iHerb Location: Irvine, CA Job Posted Time: 2026-09-16 11:17:55 Target Skills & Keywords : A/B Testing, Databricks, Python, SQL About the job Required Skills: •Own end-to-end pricing analytics, modeling and measurement in close partnership with the Pricing organization, supporting day-to-day pricing decisions as well as longer-term strategy refinement •Build, validate, and maintain applied pricing models (e.g., elasticity, incrementality, sensitivity tiers) that balance statistical rigor with real-world constraints and imperfect data •Design and execute measurement approaches for pricing tests and promotions, including A/B tests and quasi-experimental methods, accounting for seasonality, halo, and cannibalization •Lead competitive pricing analytics, including validation of external pricing data, imputation logic for incomplete coverage, and ongoing quality monitoring to ensure confidence in insights •Translate complex analytical outputs into clear, decision-ready insights, articulating implications, tradeoffs, and recommended actions to pricing leadership and senior executives •Partner closely with BI Analytics and Data Engineering to shape pricing datasets, contribute to data modeling where needed, and ensure analytical outputs are scalable and reusable •Independently develop analytical workflows using SQL and Python, moving fluidly between data exploration, modeling, and insight generation without reliance on heavy guidance •Contribute to the development of pricing dashboards and recurring analytical outputs for the Pricing team, prioritizing clarity, usability, and decision relevance over visual polish Qualifications: •Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions, or commercial decisions in a retail or eCommerce environment •Hands-on expertise with SQL and Python, with the ability to independently extract, manipulate, model, and analyze large datasets end-to-end •Practical experience with pricing concepts such as elasticity, price sensitivity, discounting, promotions, and incrementality, with an emphasis on directional insight over theoretical precision •Proven ability to translate analytical outputs into clear, actionable insights, articulating implications, risks, and tradeoffs to senior business stakeholders •Comfort operating with ambiguity and limited guidance, demonstrating sound judgment, prioritization, and bias toward execution in fast-moving environments •Strong analytical problem-solving skills paired with business intuition, enabling independent ownership of complex measurement problems from framing through delivery •Demonstrated capacity to collaborate effectively across Analytics, Pricing, Finance, and Engineering, balancing technical rigor with pragmatic business needs •Operational familiarity with competitive pricing intelligence data, including validation, normalization, and imputation of external price sources •Hands-on experience building reusable analytical frameworks or standardized measurement templates that scale •Typically requires ten (10) years of progressive experience in data science, analytics, or quantitative analysis roles, with a demonstrated track record of applying data-driven insights to pricing, promotions, or commercial decision-making in a retail or e-commerce environment. Compensation: •$175,000 - $198,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!