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130 PayPal Jobs

Staff Product Data Scientist

9-12 years

Chennai

1 vacancy

Staff Product Data Scientist

PayPal

posted 5d ago

Job Role Insights

Flexible timing

Job Description

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.
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 Description Summary:
Seeking a motivated Staff Product Data Scientist to support Digital Wallets at Paypal
Job Description:
What you need to know about the role- 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.
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.
Meet Our Team:
The Digital Wallet Analytics ML team at PayPal plays a critical role in driving acceleration for PayPal s App Surface by using Advanced ML techniques, critical problem solving, the to advocate for decisions founded in data-driven insights. This team sits at the intersection of Strategy, Product, and Data Science, and has a front-row seat to Paypals Growth strategy as we expand and engage our customer base of 400 million+ global users.
Your Way to Impact:
Seeking a Data Scientist for Pricing Optimization Analytics team who is enthusiastic about problem-solving, adept at generating valuable insights from data through deep dive analysis, experienced at evaluating performance of pricing strategies and initiatives by establishing test and control plans and ensuring constant monitoring is in place .
Your Day-to-Day :
  • Become a domain expert in Digital Wallets and conduct rigorous data analysis to drive meaningful improvements to PayPals customer experience
  • Perform deep-dive analytics including Causal Inference analysis, Pre-Post analysis, Sensitivity analysis, financial projections, and additional ad-hoc exercises to provide holistic recommendations for various product launches
  • Challenge the status quo, and drive data backed decision making
  • Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features
  • Identify key metrics, conduct rigorous explorative data analysis, create executive-friendly info-insight packets and build business cases that drive decision making and prioritization
  • Analyze business performance and health, triage issues, and provide recommendation on the best course solution and optimization
  • Synthesizing large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders
  • Collaborate with engineering and data engineering to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelines
  • Define and cultivate best practices in analytics, ML and experimentation
  • Support multiple projects at the same time in a fast-paced, results-oriented environment
  • Mentor junior analysts on complex analyses
  • You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others
  • Stay abreast of emerging Data Science/ AI/ ML technologies and methodologies, conducting research and experimentation to drive innovation within the team.
What You Need to Bring :
  • A successful candidate will have at least 6+ years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solution
  • Bring advanced technical expertise in experimentation, causal inferencing, Machine Learning or Product Analytics
  • Communication and influence: You wont simply present data, but tell data-driven stories
  • Fluent in SQL and scripting languages such as Python or R, comfortable working with large, complex, and potentially messy datasets
  • Understanding of statistics (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments
  • Exceptional communication skills, both written and verbal, to influence cross-functional teams
  • Strong interpersonal skills and experience leading cross-functional teams
  • Prior work experience in a product analytics space would be highly valued
  • A passion for problem-solving and comfort with ambiguity
  • Bachelor s/Master s degree in a quantitative field (such as Analytics, Statistics, Mathematics, Economics or Engineering) or equivalent field experience is preferred (Advanced degree is a plus but not needed)
  • Experience managing or mentoring junior team members is a plus but not needed
Additional Job Description:
Subsidiary:
PayPal
Travel Percent:
0
For the majority of employees, PayPals 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.
Our Benefits:
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com .
Who We Are:
Click Here to learn more about our culture and community.
Commitment to Diversity and Inclusion
PayPal 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, PayPal 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 talentaccommodations@paypal.com .
Belonging at PayPal:
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 PayPal 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 PayPal.
Any general requests for consideration of your skills, please Join our Talent Community .
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Employment Type: Full Time, Permanent

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People are getting interviews at PayPal through

(based on 123 PayPal interviews)
Job Portal
Referral
Campus Placement
Company Website
Walkin
Recruitment Consultant
35%
20%
15%
12%
1%
1%
16% candidates got the interview through other sources.
High Confidence
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High Confidence means the data is based on a large number of responses received from the candidates.

What people at PayPal are saying

4.1
 Rating based on 16 Data Scientist reviews

Likes

Good perks and benefits

Dislikes

Slow career progression

Read 16 reviews

Data Scientist salary at PayPal

reported by 193 employees with 3-12 years exp.
₹15 L/yr - ₹50 L/yr
138% more than the average Data Scientist Salary in India
View more details

What PayPal employees are saying about work life

based on 878 employees
65%
60%
84%
55%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

PayPal Benefits

Free Transport
Work From Home
Health Insurance
Cafeteria
Team Outings
Job Training +6 more
View more benefits

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PayPal Chennai Office Location

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Chennai Office
Pay Pal, Rajiv Gandhi Salai, Sholinganallur Chennai
Tamil Nadu 600119

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