Sr Data Scientist
PayPal
The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: Job Description: PayPal, Inc. seeks Sr Data Scientist in San Jose, CA Job Duties: Work with the checkout and identity engineering and the product and instrumentation teams to gather the instrumentation requirements for all customer interaction on all ModXO flows, (including Post Purchase, ECS, and User Growth) on PayPal’s internal data platform First Party Tracking Identification (FPTI). Validate the instrumented data tags and the latency values. Build and automate the code flows for latency datasets to incorporate Quantum Leap ModXO data. Finalize the reporting format. Create Latency Dashboard views, the executive summary, and perform deep-dive views for ModXO. Perform deep-dive analysis to find latency drivers. Work with the team to build and automate the code flows to incorporate this data in checkout SSOT (PayPal’s internal single source of truth for checkout conversion metric). Work with the Business Intelligence team to automate the finalized views. Perform deep-dive analysis to find and identify product gaps and opportunities to improve the new features launched. Work closely with the product and engineering teams to understand the requirements of each of the new product features and KPIs. Work with the engineering team to instrument the new events and tags, so that PayPal can get the required data to flow to the end tables. Ensure all data points, events, and tags needed for reporting are clearly defined and documented. Map the finalized events and tags to specific data fields in the end tables, aligning with the schema. Collaborate with the engineering team to communicate the requirements and data mapping to the engineering team, ensuring they understand the objectives. Design event tracking by defining the structure and parameters of the events and tags that need to be instrumented, including naming conventions and data types. Test the data capture by conducting tests to verify that the events and tags are being correctly captured and transmitted through the data pipelines. Generate use cases to test the new features implemented. Work with PEAK (PayPal’s data engineering team) to create the datasets that are customized for each of these projects. Develop reporting tools and dashboards to help with readouts. Measure, track, analyze, and share the results of each of the product features with the product team. Work to understand the root cause for lower conversion, perform customer funnel analysis to find the different stages at which customers drop off, and recommend the next steps to close the gap. Regularly track and monitor KPIs to ensure the health of the business. Perform deep-dive analysis to identify the reasons for the degradation, insights, and recommendations to improve checkout customer experience and performance. Ensure the successful cross-functional implementation of anomaly detection for conversion rate, starts, transactions, and revenue. Work on initiatives for Intelligence Alerting. Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering, or a closely related field plus five years of experience in the job offered or a related occupation. Employer will accept a bachelor’s degree, or foreign equivalent, in Computer Science, Engineering or a closely related field plus seven years of experience in the job offered or a related occupation. Special Skill Requirements:
- A/B Testing (5 years)
- SQL (5 years)
- Data visualization - Tableau (4 years)
- Python (2 years)
- BigQuery (3 years)
- Product Analytics (5 years)
- Statistical Analysis (3 years)
- Causal Inference (3 years)
$184.7k - $324.8k
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