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1 PayPal Machine Learning Scientist Job
Machine Learning Scientist
PayPal
posted 19d ago
Job Role Insights
Flexible timing
Key skills for the job
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:
What you need to know about the role You will focus on development and implementation of advanced machine learning solutions to enhance customer satisfaction, retention, and overall experience. You will collaborate closely with cross-functional teams to design and deliver scalable ML models that drive actionable insights and enable Customer Success strategies.
Meet our team
Join PayPal s Customer Success Data Science team within the Global Analytics Data Science (GADS) organisation, to help build next-gen solutions that meet customer service needs across a variety of channels including Chatbot, Chat, Voice and Self-Service. Our solutions aim to efficiently, effectively, and proactively resolve customer pain points by leveraging AI/ML and bleeding-edge tech, while also equipping our Customer Success Business teams with AI/ML-driven automation, Natural Language Processing models and guided solution workflows. We are seeking a highly skilled and passionate Machine Learning Scientist to join our Customer Success team within the Global Data Sciences organization.
Job Description:
Your way to impact
In this role at PayPal, youll directly impact the business by developing machine learning models and algorithms aimed at enhancing customer satisfaction, retention, and overall experience. As part of the Customer Success Data Science team within the Global Analytics Data Science (GADS) organization, your work aligns with PayPals commitment to leveraging AI/ML-driven automation and Natural Language Processing models to efficiently resolve customer pain points across various channels. Ultimately, your contributions will empower PayPal to deliver personalized, proactive, and effective customer service solutions, ensuring a seamless experience for our users worldwide.
Your day to day
Your day to day
In your day-to-day role you will
- Design and develop machine learning models and algorithms to enhance customer satisfaction, retention, and overall experience.
- Utilize statistical and machine learning techniques to analyze customer data, identifying patterns and trends, while collaborating with cross-functional teams to translate insights into actionable strategies.
- Stay abreast of emerging ML technologies and methodologies, conducting research and experimentation to drive innovation within the team.
- Collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to integrate machine learning solutions into products and services.
What do you need to bring
- Bachelors/ Masters or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
- 1-3 years of experience in Machine/Deep learning and Natural language processing
- Proficiency in programming languages like Python, as well as in ML Frameworks such as PyTorch
- Strong understanding of machine learning algorithms and statistical analysis techniques, with hands-on experience in model development and evaluation
- Basic NLP exposure, including familiarity with text preprocessing techniques (e.g., tokenization, stemming) and vectorization word embedding methods.
- Experience with Large Language Models (LLMs) such as GPT, BERT, T5, and other transformer-based architectures is preferred
- Proven track record of delivering actionable insights and driving business impact through data-driven decision-making
- Proficiency in Data Visualization techniques and practical knowledge in the deployment of NLP models LLMs models will be nice to haves for the role.
** We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please dont hesitate to apply.
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
People are getting interviews through
(based on 124 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.
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What Machine Learning Scientist at PayPal are saying
Rating based on 2 Machine Learning Scientist
reviews
Anonymous · Data Science & Machine Learning
in Bengaluru
Likes
Good culture, learning, work life balance
Dislikes
Appraisals, promotions.
Read 2 reviewsMachine Learning Scientist salary at PayPal
reported by
6
employees
with 6-13
years exp.
₹27
L/yr - ₹50
L/yr
614%
more
than the average Machine Learning Scientist Salary in India
View more details
What PayPal employees are saying about work life
based on 882 employees
Flexible timing
Monday to Friday
No travel
Day Shift
PayPal Benefits
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