The role entails a combination of Insights generation, opportunity mining, AB testing and ad-hoc work. The work requires significant use of Python and Data Science/ML techniques.Meet our team We are part of the Global Analytics & Data Sciences team supporting the SMB Business Unit. Specifically, we focus on Merchant Onboarding, Servicing & VAS product teams and help uncover new revenue opportunities. Job Description:Your way to impactThe role will directly contribute to the SMB Early lifecycle metrics which ultimately translates to incremental revenue.Your day to dayExperiment measurement : Experiment design, ramp decisions, segment level insights & measurementOpportunity identification: Entails solving open ended problems to uncover opportunities to move the key KPIs. Often involves ML/DS techniquesRCA: Uncover why the KPIs are fluctuating (up and down) or if some experience is broken and requires investigatingImprove product experiences for 200+ million customers using data science techniquesLeverage the Objective & Key Results (OKR) framework to identify product metrics and monitor product performance through dashboards and ad hoc analysisPresent findings and recommendations to senior-level/non-technical stakeholdersDeliver actionable, data-driven insights to help understand customer behavior, launch and optimize new features, and prioritize the product roadmap Build automationIdentify key metrics, conduct rigorous explorative data analysis, create exec-facing dashboards, and build business cases that drive decision-making and business prioritizationSupport multiple projects at the same time in a fast-paced, results-oriented environmentRequirements:Data-driven mindset with a degree in a quantitative discipline such as Computer Science, Statistics, Engineering, Mathematics, or Economics2+ years of relevant work experience in analyzing large, multi-dimensional data sets and synthesizing data insights into actionable recommendationsStory telling & Communication.SQL (advanced) & Python (Basic)ML & Stats applicationAB testing measurementsExceptional written and verbal communication skills to influence cross-functional teamsPrior work experience in digital (website/marketing/product) analytics, management consulting, investment banking, and/or consumer financial products is highly valuedExperience/knowledge of employing statistical, data mining, and machine learning algorithms (e.g. regression and clustering) on real-world problems is a plusAdditional Job Description:Subsidiary:PayPal Travel Percent:0 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.