Iherb

Iherb

Pricing Data Scientist

Irvine, CA

Sponsorship not specified$175k-$198kDetected 12 days ago
PythonSQLDatabricksMachine LearningData EngineeringData ScienceStatisticsA/B TestingAccountingLogisticsVendor ManagementLeadershipProblem Solving

About the role

  • The Pricing Data Scientist is a hands-on, high-autonomy individual contributor responsible for owning end-to-end pricing analytics and measurement in close partnership with the Pricing organization.
  • Translate complex analytical outputs into clear, decision-ready insights, articulating implications, tradeoffs, and recommended actions to pricing leadership and senior executives

Responsibilities

  • 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
  • Independently develop analytical workflows using SQL and Python, moving fluidly between data exploration, modeling, and insight generation without reliance on heavy guidance
  • Experience deploying, monitoring, or operationalizing pricing or predictive models in a production analytics or ML environment (e.g., Databricks, scheduled pipelines, or decision-support workflows)

Requirements

  • Degree in Engineering, Math, Statistics, Finance, or Computer Science required.
  • Advanced degrees are welcome but not required.
  • Success in this role: judgment, bias toward action, and the ability to clearly articulate the "so-what" behind the numbers.
  • 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

Nice to have

  • Prior experience supporting pricing strategy, experimentation, or promotional measurement in fast-paced, ambiguous environments is strongly preferred.

Skills

  • Hands-on expertise with SQL and Python, with the ability to independently extract, manipulate, model, and analyze large datasets end-to-end
  • Familiarity with competitive pricing intelligence data, including validation, normalization, and imputation of external price sources

Compensation

  • The expected salary range for this role is $175,000 - $198,000 USD.
  • The actual base pay offered will be determined by factors such as the candidate's relevant experience, education, geographic location, and internal equity.

Company info

  • For A Better You
  • At iHerb, we believe that living a healthy and balanced life should be easy and accessible to everyone.
  • As a team member, we'll empower you to live this promise each day as you make a truly global impact in your career.
  • We constantly strive for innovation, while transforming and improving the online shopping experience for our customers.
  • We believe that individually we are incredible, but when we come together, our growth is infinite.
  • In an industry that is constantly evolving, we are on a mission to make an impact on the global market, and the individual and collaborative efforts of our people are paramount to helping us succeed.
  • Whether you work in one of our logistics centers, technology hubs, corporate offices or even from home, your role at iHerb will take you beyond what's expected, turning challenge into change.
  • If you're ready for it, we want you to join our team.
  • Get started now.

Equal opportunity

  • iHerb is an Equal Opportunity employer.

This listing is sourced directly from Iherb's careers page and normalized into a canonical job model.