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.

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 at least 8 years of professional 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 Power Point.
- 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.
- Robust 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.

Subsidiary:

Pay Pal

Travel Percent:

0

Pay Pal 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 Pay Pal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit .

For the majority of employees, Pay Pal'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 Pay Pal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At Pay Pal, 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 comprehensive,



choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to advantages, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

Who We Are:

to learn more about our culture and community.

Commitment to Diversity and Inclusion

Pay Pal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, Pay Pal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .

Belonging at Pay Pal:

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at Pay Pal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at Pay Pal.

Any general requests for consideration of your skills, please .

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

📌 Staff Data Scientist (India)
🏢 Paypal
📍 India