PayPal

About the Company

We're championing possibilities for all by making money fast, easy, and more enjoyable. Our hope is unlock opportunities for people in their everyday lives and empower the millions of people and businesses around the world who trust, rely, and use PayPal every day.

For support, visit the PayPal Help Center. https://payp.al/help

For employment opportunities, check out our job openings in the 'Jobs' tab. We're an equal opportunity employer that welcomes diversity, and offer generous benefits to help you thrive at work and in your free time.

Listed Jobs

Company Name

PayPal

Job Title

Analyst, Data Analytics

Job Description

**Job Title:** Analyst, Data Analytics **Role Summary:** Build, maintain, and optimize BI dashboards (React.js & Looker) to deliver actionable insights within short development cycles. Own the end‑to‑end BI solution stack—including ETL, data quality, visualization, and production deployment—while collaborating with stakeholders to shape data needs and inform business decisions. **Expectations:** - Rapid prototyping and agile delivery of dashboards. - Continuous improvement of data analysis practices and BI tooling. - Partner with cross‑functional teams to interpret findings and recommend actions. **Key Responsibilities:** - Analyze large datasets to extract insights and support strategic decisions. - Design and develop dashboards using React.js and Looker; ensure responsive, cross‑browser UI. - Build and maintain ETL pipelines, enforce data quality standards, and manage data lineage. - Write documentation for data models, dashboards, and maintenance procedures. - Deploy BI solutions to production and monitor performance. - Conduct unit, functional, and integration testing for front‑end and back‑end components. - Debug and resolve complex JavaScript and API issues across the tech stack. **Required Skills:** - 4–6 years full‑stack development experience (frontend + backend). - 3+ years hands‑on React.js development. - 3+ years Looker or equivalent BI tool development. - SQL expertise; proficiency with RESTful web services. - Strong JavaScript/ES6+, Node.js, Express, HTML5, CSS3. - Familiarity with Webpack, packaging tools, and Git branching/release workflows. - Ability to write automated unit & functional tests. - Excellent communication, stakeholder engagement, and problem‑solving skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Data Analytics, or related field, or equivalent professional experience. ---

New york, United states

On site

Junior

01-01-2026

Company Name

PayPal

Job Title

Machine Learning Intern

Job Description

**Job Title** Machine Learning Intern **Role Summary** Assist in developing, implementing, and evaluating machine learning models within PayPal’s Enterprise Compliance Solutions team. Focus on tasks such as fraud detection, AML/KYC, and regulatory reporting to streamline compliance processes and enhance risk mitigation. **Expectations** - Complete internship within 3–6 months (exact duration to be confirmed by payroll). - Deliver functional ML prototypes and documentation. - Communicate findings to cross‑functional stakeholders. - Maintain reproducible pipelines and adhere to coding best practices. **Key Responsibilities** - Build and test supervised/unsupervised ML models for compliance use cases. - Work with Python and libraries (NumPy, Pandas, Scikit‑learn, TensorFlow, PyTorch). - Clean, transform, and analyze large datasets; develop feature engineering pipelines. - Implement and evaluate model performance using appropriate metrics. - Contribute to end‑to‑end ML pipelines (data ingestion, training, deployment, monitoring). - Prepare reports and deliver presentations to technical and non‑technical audiences. - Collaborate with data scientists, engineers, and compliance experts to translate business requirements into ML solutions. - Stay updated on emerging ML techniques and industry compliance trends. **Required Skills** - Strong understanding of ML concepts, algorithms, and techniques. - Proficient in Python; experience with NumPy, Pandas, Scikit‑learn, TensorFlow, or PyTorch. - Data cleaning, wrangling, and exploratory analysis ability. - Excellent communication, collaboration, and problem‑solving skills. - Self‑motivated, proactive, and strong work ethic. **Required Education & Certifications** - Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field. - Coursework or projects involving machine learning, data analytics, or artificial intelligence. ---

Scottsdale, United states

On site

Fresher

01-01-2026

Company Name

PayPal

Job Title

Machine Learning Engineer

Job Description

**Job Title** Machine Learning Engineer **Role Summary** Design, develop, and deploy machine learning models and scalable pipelines to solve complex problems. Collaborate with senior engineers, data scientists, and product teams to enhance services, ensuring high data quality and production readiness. **Expactations** * Minimum 2 years of relevant work experience or equivalent. * Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience). * Familiarity with ML frameworks such as TensorFlow or scikit‑learn. * Strong analytical and problem‑solving abilities. * Continuous learning of latest ML advancements. **Key Responsibilities** * Build and optimize supervised/unsupervised learning models. * Preprocess, clean, and analyze datasets to maintain data integrity. * Collaborate with senior engineers and data scientists on model deployment strategies. * Conduct experiments, run A/B tests, and evaluate model performance. * Deploy models into production environments and monitor outcomes. * Iterate models based on feedback and evolving business needs. **Required Skills** * Proficiency in Python and ML libraries (TensorFlow, scikit‑learn, PyTorch). * Data manipulation with pandas, NumPy, and SQL. * Experience with model versioning and deployment pipelines (CI/CD). * Familiarity with cloud platforms (AWS, GCP, Azure) for scalable ML services. * Strong debugging, profiling, and performance tuning skills. * Effective communication and collaboration in cross‑functional teams. **Required Education & Certifications** * Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, or equivalent. * No mandatory certifications required, though certifications in Machine Learning, Deep Learning, or Cloud Data Engineering may be advantageous.

San jose, United states

On site

Junior

01-01-2026

Company Name

PayPal

Job Title

Analyst, Corporate Development

Job Description

**Job Title** Analyst, Corporate Development **Role Summary** Support the Corporate Development team by contributing to strategic discussions, improving processes, and analyzing market trends to identify growth initiatives that align with organizational goals. **Expectations** - Deliver actionable insights and recommendations to advance corporate strategy. - Apply analytical judgment within established processes to drive project execution. - Collaborate across teams to streamline workflows and enhance decision‑making. **Key Responsibilities** - Participate in team discussions and collaborative problem‑solving. - Identify and propose efficiencies and process improvements internally and across peer functions. - Support the scoping and execution of strategic initiatives aligned with corporate objectives. - Conduct market trend analyses to inform business decisions and investment priorities. - Assist in the preparation of briefings and presentations for stakeholders. **Required Skills** - Proficient in quantitative analysis and data interpretation. - Strong written and verbal communication; ability to present complex data clearly. - Collaborative mindset with experience working in cross‑functional teams. - Ability to exercise independent judgment within defined processes. - Familiarity with market research techniques and tools. **Required Education & Certifications** - Bachelor’s degree in Business, Finance, Economics, or a related field, or equivalent combination of education and experience; minimum 1 year of relevant experience.

New york, United states

On site

Fresher

04-02-2026