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At PayPal we are reimagining money, democratizing financial services, and giving people more ways to safely connect to their money and to each other. We are purpose-driven and looking for people who want to join us at the forefront of the digital payments revolution. Learn more at PayPal.com/Jobs Learn more about privacy-related questions or data retention. If you would like your profile to be deleted from our system, please let us know Please note that this site has updated features that can’t run on older versions of Internet Explorer. Please use IE11 or MS Edge for an optimal experience.

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Jobs at this company:

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🔥 Sr Data Scientist

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 211536.0 - 287100.0 USD per year

🔍 Software Development

🔧 Requirements

SQL and Python programming to query and validate the accuracy of datasets
Design and develop workflow orchestration tools
Python scripting to develop statistical and machine learning models for classification
Use agile software development principle to design, plan and structure deployment of software products
Develop machine learning models to segment customer behavior, identify market concentration and volatility using Python and Spark ML
Building KPIs (Key Performance Indicators) and metrics, validating using statistical hypothesis testing
Expertise in Cloud Computing resources and maintaining data on cloud storage
Big Data processing for data cleaning
Deploy self-serving data visualization tools, automating, generating reports and consolidating visually on tableau dashboards
Develop data engineering pipelines and transformations

💡 Responsibilities

Lead, build and implement analytics functions for Honey features
Conduct impactful data analysis to improve customer experiences and inform product development
Collaborate cross-functional support teams to build world-class products and design hypothesis-driven experiments
Gather and collate business performance and metrics to recommend improvements, automation, and data science directives for overall business performance
Present findings and recommendations to senior level/non-technical stakeholders
Maintain large datasets by performing batch scheduling and pipelining ETL operations
Perform ad-hoc exploratory analysis on datasets to generate insights and automate production ready solutions
Develop machine learning-based models to improve forecasting and predictive analytics
Implement innovative quantitative analyses, test new data wrangling techniques, and experiment with new visualization tools to deliver scalable analytics
Develop and create programming paradigms and utilizing tools like git, data structures, OOP, and network algorithms

PythonSQLCloud ComputingData AnalysisETLGitMachine LearningNumpyTableauAlgorithmsData engineeringData StructuresPandasSparkTensorflowAgile methodologiesData visualizationData modeling

Posted 3 days ago

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🔥 Sr Specialist, Entity Management

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 115482.0 - 149500.0 USD per year

🔍 Payments

🔧 Requirements

Three years of experience working with Regulators on exams and inspections, regulatory changes, and strategic engagements
Obtaining and maintaining Non-Bank Payment Service Providers Licenses
Payment’s ecosystem
Managing cross-functional projects

💡 Responsibilities

Collaborate with global and regional functions in America to proactively perform and refresh risk assessment including risk identification, documentation, rating, and control evaluation.
Review and derive insights from key risk metrics for their business area, interpreting the data provided through dashboards and reporting from centralized teams.
Create and maintain risk and control inventories including Products, Processes, Risks, and Controls applicable to the Legal Entity.
Drive execution of issue, incident, complaint, and other applicable remediation.
Provide assertions on risk exposure and articulate and present escalated risks to management.
Accountable for ensuring adequate Business Continuity Plans and Business Impact Assessment by partnering with proper teams.
Advance preparation and response to Internal and External Audit and Testing Engagements.

Project ManagementCross-functional Team LeadershipComplianceRisk Management

Posted 3 days ago

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🔥 Data Scientist 2

Posted 6 days ago

📍 United States

🧭 Full-Time

💸 148699.0 - 204600.0 USD per year

🔧 Requirements

Masters’s degree, or foreign equivalent, in Mathematics, Statistics, Analytics, or closely related field plus two years experience in the job offered or a related occupation.
Natural Language Processing and Sentiment Analysis, Tokenization
Design of Experiments - Analysis of Variance, Analysis of Covariance
Causal Inference for Quasi Experiments - Pre-Post Analysis, Difference in Difference (DiD), Propensity Score Matching (PSM), Synthetic Control (Coarsened Exact Matching)
Machine Learning & Statistical Modeling – Linear Regression, Logistic Regression, Decision Trees, Random Forest, Clustering Algorithms - KNN, K-Means, Artificial Neural Network, SVM, Naive Bayes Classification technique, Association Rule Mining
Product Analytics - Product Sense, A/B Testing and Experimentation, Data Analysis and Insights
Statistics – Descriptive, Probability, Sampling Distributions (Chi Sq, T, F, Z), Hypothesis Testing, Statistical Inference (Non-Parametric Tests)
Time Series Forecasting – Autoregressive Integrated Moving Average (ARIMA), Exponential Smoothing (ETS)
Tools - Tableau, Looker SQL - Advanced
SQL with Window functions (Rank determination, continuous distribution, population variance),
Python (Numpy, Pandas, Scikit Learn, Matplotlib, Scipy, web crawling, Plotly), R (ggplot), PySpark

💡 Responsibilities

Design and implement data and statistical models to gather, analyze and transform big data into consumer insights to impact product growth and strategy using Advanced Analytics and Data Science.
Define and cultivate best practices in analytics instrumentation and experimentation.
Synthesize large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders.
Set up A/B tests and perform statistical testing to assess the impact of new features before launch.
Create and monitor KPI dashboards for user interaction with product features on app and web using BigQuery, R, Python and Tableau and Looker.
Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes.
Partner closely with product, engineering, and other business leaders to influence product and program decisions supported data analysis.

PythonSQLData AnalysisMachine LearningNumpyTableauProduct AnalyticsData scienceRegression testingPandasSparkData visualizationData modelingA/B testing

Posted 6 days ago

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🔥 Manager Inside Sales (V)

Posted about 2 months ago

📍 United States of America

💸 157000.0 - 224400.0 USD per year

🔍 Digital Payment Solutions

🔧 Requirements

Minimum of 5 years' experience in sales, with at least 3 years in a leadership role managing inside sales teams.
Proven track record of meeting or exceeding sales targets and driving sales growth.
Strong understanding of the US market and digital payment solutions.
Excellent communication, negotiation, and presentation skills.
Proficient in CRM software and sales management tools.
Demonstrated leadership capabilities with a focus on team motivation and engagement.

💡 Responsibilities

Lead and manage the day-to-day operations of the Outbound sales team, ensuring sales targets are consistently met or exceeded.
Recruit, train, and mentor inside sales representatives, fostering an environment of growth, high performance, and continuous learning.
Design and implement effective sales tactics and strategies tailored to the US market, identifying new opportunities for customer acquisition and revenue growth.
Regularly review team performance metrics, providing guidance and corrective actions as necessary to ensure team success and achievement of sales goals.
Maintain and nurture key customer relationships while supporting the team in developing new ones, ensuring an exceptional customer experience.
Work closely with cross-functional teams, including Marketing, Customer Success, and Product Management, to align sales strategies with company-wide initiatives and goals.
Stay informed about market trends and competitor activity in the US, adjusting strategies as needed to maintain a competitive edge.
Provide accurate and timely reports on team performance, market dynamics, and sales forecasts to senior management.

LeadershipCommunication SkillsCustomer serviceNegotiationReportingSales experienceTeam managementCRM

Posted about 2 months ago

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