Pricing Data Scientist

Job Summary:

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 and executive-ready insights -- translating complex pricing dynamics into clear credible recommendations that influence senior leaders. 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: judgment 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 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
• Continuously refine pricing measurement frameworks as the business evolves balancing speed accuracy and practicality in a fast-moving global environment
• 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)

Knowledge Skills and Abilities:

Required

• 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
• Experience designing and interpreting pricing or promotional measurement including experimentation (A/B testing) and quasi-experimental approaches with comfort navigating imperfect data and incomplete controls
• 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
• Ability to collaborate effectively across Analytics Pricing Finance and Engineering balancing technical rigor with pragmatic business needs

Preferred

• Experience supporting pricing decisions in a global or multi-market retail or e-commerce environment including regional pricing variation or localized promotions
• Familiarity with competitive pricing intelligence data including validation normalization and imputation of external price sources
• Experience partnering closely with Pricing Finance or Commercial Strategy teams to inform margin contribution or profitability-focused decisions
• Hands-on experience building reusable analytical frameworks or standardized measurement templates that scale

Experience Requirements:

• 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.
• Candidates should have hands-on experience building and applying analytical or data science models working directly with large real-world datasets and partnering closely with business stakeholders.
• Prior experience supporting pricing strategy experimentation or promotional measurement in fast-paced ambiguous environments is strongly preferred.

Education Requirements:

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

#LI-ME1

#LI-Remote

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 . Do not contact iHerb employees directly. If requested to work on a role any Agency candidates would be presented through the internal recruiting organization.

About iHerb
iHerb is on a mission to make health and wellness accessible to all. We offer Earths best-curated selection of health and wellness products at the best possible value delivered with the most convenient experience.

Were the worlds largest eCommerce platform dedicated to vitamins minerals and supplements and other health and wellness products. For more than 25 years weve been making it simple for people all over the world to purchase the highest quality products. From supplements to skincare to grocery items we ship over 50000 products from over 1800 brands direct to our customers in 180 countries.

Our vision is to become the #1 destination for health and wellness across the world.

With a passion for wellness and a mind for innovative solutions iHerb team members share a vision for a healthier world that drives them each day. Our 5 Shared Values unite our global team:

Focus on the Customer Empower Our People Be Entrepreneurial & Pivot Quickly
Embrace Diversity & Inclusion Strive for Simplicity

iHerb Benefits
At iHerb we are dedicated to offering programs designed to help our employees and their families stay healthy live well and plan for their financial future. Built on a strong foundation our programs provide options and upgrades with flexibility protection and security in mind. For the comprehensive benefitslist visit our international team members you may be eligible forbenefitsdepending on the country where you are Acquisition Partner/local HR representative will go over thebenefitsyou are eligible for.

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. iHerb provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment.