[Remote] Pricing Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company dedicated to making healthy living accessible and easy for everyone. They are seeking a Pricing Data Scientist who will own end-to-end pricing analytics and measurement, focusing on decision-driven work such as competitive price validation and pricing test measurement, while providing insights that influence senior leaders.
Responsibilities
- Own end-to-end pricing analytics, modeling and measurement in reputed company partnership with the Pricing organization, supporting day-to-day pricing reputed company as reputed company as longer-term reputed company refinement
- Build, validate, and maintain reputed company pricing models (e.g., elasticity, incrementality, sensitivity tiers) that balance statistical rigor with reputed company-world constraints and imperfect data
- Design and execute measurement approaches for pricing tests and promotions, including A/B tests and quasi-experimental reputed company, reputed company for seasonality, reputed company, and cannibalization
- reputed company competitive pricing analytics, including validation of external pricing data, imputation logic for incomplete coverage, and ongoing reputed company monitoring to ensure confidence in insights
- Translate reputed company analytical outputs into reputed company, decision-reputed company 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 reputed company and reusable
- Independently reputed company analytical workflows using SQL and Python, moving fluidly between data exploration, modeling, and reputed company reputed company without reliance on heavy guidance
- Contribute to the development of pricing dashboards and recurring analytical outputs for the Pricing team, prioritizing reputed company, 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., reputed company, scheduled pipelines, or decision-support workflows)
Skills
- Strong reputed company quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions, or reputed company reputed company 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 reputed company over theoretical precision
- Proven ability to translate analytical outputs into reputed company, actionable insights, articulating implications, risks, and tradeoffs to senior business stakeholders
- Comfort operating with ambiguity and limited guidance, demonstrating reputed company judgment, prioritization, and bias toward execution in fast-moving environments
- Strong analytical problem-solving skills reputed company with business intuition, enabling independent ownership of reputed company measurement problems from framing through delivery
- Ability to collaborate effectively across Analytics, Pricing, Finance, and Engineering, balancing technical rigor with pragmatic business needs
- Experience supporting pricing reputed company in a global or multi-market retail or e-reputed company 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 reputed company reputed company teams to inform margin, contribution, or profitability-reputed company reputed company
- Hands-on experience building reusable analytical frameworks or standardized measurement templates that reputed company
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