Staff Data Scientist

Job Title: Staff Data Scientist Company: PayPal Job Category: Data Science Roles & Responsibilities: 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. Job Summary: This job will design and implement advanced data science models to support business needs. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists. Job Description: Essential Responsibilities: * Lead and manage data science projects, ensuring timely delivery and alignment with business goals. * Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision\-making. * Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives. * Collaborate with cross\-functional teams to understand data needs and provide actionable insights. * Ensure data quality and integrity through regular audits and validation processes. * Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement. Work Location: Chennai, Tamil Nadu, India Availability: Full time

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. Minimum Qualifications: * 5\+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience. Additional Responsibilities \& Preferred Qualifications: * Bachelor’s degree with 1-2 years of experience, or a master’s degree with at least six years of experience. * Strong data science and analytical skills, with the ability to structure and execute complex analyses and build business cases that evaluate benefits, costs, risks, and trade\-offs. * Advanced proficiency in SQL and Python, with hands\-on experience working with large and complex datasets. * Proficiency in Excel, statistical techniques, data visualization, and PowerPoint. * Ability to use AI and advanced analytics to build reusable solutions for portfolio measurement, A/B testing, strategy optimisation, and performance analysis. * Must have experience in end\-to\-end product experimentation, Product Analytics, Casual Inference, Python/SQL. * Experience applying Machine Learning techniques to support product/business decision\-making. * Strong understanding of experimental design, test\-and\-learn methodologies, and performance measurement. * Demonstrated ability to translate analytical findings into practical business strategies and implementation requirements. * Excellent verbal and written communication skills, including the ability to present complex findings succinctly to senior management. * Strong collaboration and influencing skills, with the ability to align stakeholders across Product, GTM, Engineering, and other Data Science teams. * Proactive and adaptable, with the ability to work effectively under pressure and manage multiple priorities simulataneously. * Ability to work independently, identify and resolve issues, and recommend improvements to strategies, and processes. PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one\-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact\-us. 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. Key Skills: Data Science, Python, SQL, Data Visualization, Machine Learning Salary: Not disclosed