Remote Pricing Data Scientist - USA - $205k, Bonus & RSUs

The Pricing Data Scientist is a hands-on 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 recommendationsClient DetailsThe company is a leading global retail organization on a mission to make health and wellness accessible to all. DescriptionThe Remote Pricing Data Scientist's responsibilities and daily duties will include: 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 refinementBuild, validate, and maintain applied pricing models (e.g., elasticity, incrementality, sensitivity tiers) that balance statistical rigor with real-world constraints and imperfect dataDesign and execute measurement approaches for pricing tests and promotions, including A/B tests and quasi-experimental methods, accounting for seasonality, halo, and cannibalizationLead competitive pricing analytics, including validation of external pricing data, imputation logic for incomplete coverage, and ongoing quality monitoring to ensure confidence in insightsTranslate complex analytical outputs into clear, decision-ready insights, articulating implications, tradeoffs, and recommended actions to pricing leadership and senior executivesPartner closely with BI Analytics and Data Engineering to shape pricing datasets, contribute to data modeling where needed, and ensure analytical outputs are scalable and reusableIndependently develop analytical workflows using SQL and Python, moving fluidly between data exploration, modeling, and insight generation without reliance on heavy guidanceContribute to the development of pricing dashboards and recurring analytical outputs for the Pricing team, prioritizing clarity, usability, and decision relevance over visual polishContinuously refine pricing measurement frameworks as the business evolves, balancing speed, accuracy, and practicality in a fast-moving global environmentExperience deploying, monitoring, or operationalizing pricing or predictive models in a production analytics or ML environment (e.g., Databricks, scheduled pipelines, or decision-support workflows) ProfileThe Remote Pricing Data Scientist will have the following experience: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. MUST HAVE RETAIL / E-COMMERCE EXPERIENCEHands-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.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 environmentHands-on expertise with SQL and Python, with the ability to independently extract, manipulate, model, and analyze large datasets end-to-endExcellent communication Job OfferIncluded in the compensation package for the Remote Pricing Data Scientist:Base salary ranging from $175k-$205k 18% Annual BonusRSUsRemote work scheduleFull Benefits (Medical, Dental, PTO, 401k)Excellent growth opportunity Desired Skills and ExperienceThe 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.MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.