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PayPal Manager Pricing Optimization Data Science United States, California, San Jose 224610405
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About the Role
Essential Responsibilities:
- Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
- Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
- Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
- Collaborate with cross-functional teams to understand data needs and provide actionable insights.
- Ensure data quality and integrity through regular audits and validation processes.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
Expected Qualifications:
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Your way to
- data insightsand relentless focus on execution.
- quantitativeend to endsolutionsto solve pricing challenges.
- You are curious and inquisitive: lovedigging into dataanduncovering insightsand solutions.
- ou are hyper-analytical and intellectually honest,truly believingindata-driven decisionsand communicating your ideas through storytelling
- player-coachandare not afraid of rolling up your sleeves and jumping into details
Your day to day:
- Develop domainexpertiseinPricing & FXand conduct rigorous analysis tooptimize
- Build andmaintainautomated quantitative solutions(including ML models) in partnership with Product and Engineering.
- Design and evaluate experiments and performcausal inference, sensitivity analysis, and clusteringto inform pricing strategies.
- key metrics and createexecutive-ready insight summaries
- functionallyto ensure proper data tracking, pipeline integrity, and feature instrumentation.
- Define and scalebest practicesin data science methods, process, and governance.
- Manage and mentor data scientists and analysts to build technical excellence and business impact.
What do you need to bring:
- 10+ yearsof experience developing quantitative or ML-based solutions using large, complex datasets.
- 2+ years
- expertiseinML model design, development, and deployment, particularly regression, unsupervised learning, and optimization techniques.
- Strong statistical foundation (hypothesis testing, inference, experimental design).
- inSQLandPython;experience working with large-scale, multi-source data environments.
- onidentifyingopportunities andsynthesizing insightsinto actionable solutions
- Excellent communication andstorytellingskills with the ability toinfluence atsenior levels.
- Bachelor’s degree in a quantitative discipline; advanced degree preferred.
- Prior experience inproduct or pricing data scienceis highly valued.
- Demonstrated passion for problem-solving, ownership, and navigating ambiguity.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $152,500 to $262,350
Our Benefits:
Any general requests for consideration of your skills, please
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