Pricing Data Scientist

Role Description

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. This role focuses on practical, decision-driven work including:

• Competitive price validation
• Pricing test measurement
• Promotion and discount analysis
• Elasticity assessment
• Executive-ready insights

The ideal candidate combines strong quantitative skills with pragmatic execution, is comfortable building and applying predictive models while working across SQL, Python, and analytics workflows, and can independently deliver results without heavy guidance. Success in this role requires judgment, a bias toward action, and the ability to clearly articulate the “so-what” behind the numbers.

Job Expectations

• Own end-to-end pricing analytics, modeling, and measurement in close partnership with the Pricing organization.
• Build, validate, and maintain applied pricing models (e.g., elasticity, incrementality, sensitivity tiers).
• Design and execute measurement approaches for pricing tests and promotions, including A/B tests and quasi-experimental methods.
• Lead competitive pricing analytics, including validation of external pricing data and ongoing quality monitoring.
• Translate complex analytical outputs into clear, decision-ready insights for pricing leadership and senior executives.
• Partner closely with BI Analytics and Data Engineering to shape pricing datasets.
• Independently develop analytical workflows using SQL and Python.
• Contribute to the development of pricing dashboards and recurring analytical outputs for the Pricing team.
• Continuously refine pricing measurement frameworks as the business evolves.
• Experience deploying, monitoring, or operationalizing pricing or predictive models in a production analytics or ML environment.

Qualifications

• Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models.
• Hands-on expertise with SQL and Python, with the ability to independently extract, manipulate, model, and analyze large datasets.
• Experience designing and interpreting pricing or promotional measurement, including experimentation (A/B testing).
• Practical experience with pricing concepts such as elasticity, price sensitivity, discounting, promotions, and incrementality.
• Proven ability to translate analytical outputs into clear, actionable insights.
• Comfort operating with ambiguity and limited guidance.
• Strong analytical problem-solving skills paired with business intuition.
• Ability to collaborate effectively across Analytics, Pricing, Finance, and Engineering.

Requirements

• Typically requires ten (10) years of progressive experience in data science, analytics, or quantitative analysis roles.
• Hands-on experience building and applying analytical or data science models.
• Prior experience supporting pricing strategy, experimentation, or promotional measurement in fast-paced environments is strongly preferred.

Education Requirements

• Degree in Engineering, Math, Statistics, Finance, or Computer Science required.
• Advanced degrees are welcome but not required.

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.

Staffing Agency Submission Notice

iHerb does not accept unsolicited 3rd party ("Agency") candidates. If you are an Agency, please send any requests to be considered as a supplier in our Vendor Management System to View email address on us.fitly.work. Do not contact iHerb employees directly.

Equal Opportunity Employer

iHerb is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.