Senior Data Scientist, Venmo

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.Job Description Summary: Senior Data Scientist for Venmo Analytics team who is very strong at generating valuable insights from data through deep dive analysis, experienced at supporting new product launches by establishing test and control plans and ensuring constant monitoring is in place to track product performance.**Job Description**:About YouWe are seeking an exceptional Senior Data Scientist for Venmo Analytics team with a passion for data insights and relentless focus on execution:- You are curious and inquisitive: love digging into data and uncovering insights- You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling- You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with mínimal guidance- You are a player-coach, and are not afraid of rolling up your sleeves and jumping into detailsYour day to day:- Challenge the status quo, and drive data backed decision making- Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features- Identify key metrics, conduct rigorous explorative data analysis, create executive facing dashboards and build business cases that drive decision making and business prioritization- Analyze consumer product performance and health, triage issues, and provide recommendation on the best course solution and optimization- Synthesizing large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders- Collaborate with engineering and data engineering to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelines- Define and cultivate best practices in analytics instrumentation and experimentation- Support multiple projects at the same time in a fast-paced, results-oriented environment- Mentor junior analysts on complex analysesWhat do you need to bring:- At least 5 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions- B.S. in a quantitative field, advanced degrees preferred- Fluent in SQL and at least one scripting language such as Python or R, comfortable working with large, complex, and potentially messy datasets- Understanding of statistics (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments- Exceptional communication skills, both written and verbal, to influence cross-functional teams- Strong interpersonal skills and experience leading cross-functional teams- Prior work experience in a product analytics space would be highly valued- A passion for problem-solving and comfort with ambiguityOur 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.Who We Are:As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.