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

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• Work for a leading retail company in the wellness space
• Work 100% remote and get RSUs and a generous annual bonus

About Our Client The company is a leading global retail organization on a mission to make health and wellness accessible to all.

Job Description

The 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 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)

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. The Successful Applicant The 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 EXPERIENCE
• 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.
• 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
• Excellent communication

What's On Offer Included in the compensation package for the Remote Pricing Data Scientist:

• Base salary ranging from $175k-$205k
• 18% Annual Bonus
• RSUs
• Remote work schedule
• Full Benefits (Medical, Dental, PTO, 401k)
• Excellent growth opportunity

Contact Joshua Kerslake Quote job ref JN-822