Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 1K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Employer? Claim Account for FREE

PayPal

Compare

3.9

based on 890 Reviews

1 PayPal Senior Machine Learning Scientist Job

Senior Machine Learning Scientist

PayPal Holdings, Inc.

3.9

based on 890 Reviews

3-5 years

Bangalore / Bengaluru

1 vacancy

Senior Machine Learning Scientist

PayPal

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Science Data Analytics Customer Service Automation Testing Machine Learning Data Visualization

+ 2 more

Job Description

You will lead the 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 experienced Machine Learning Scientist to join our Customer Success team within the Global Data Sciences organization.

Job Description:

Your way to impact

I n this role at PayPal, youll directly impact the business by leading the development of 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

I n your day to day role you will

Lead the design and development of 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.

Mentor and coach junior team members, providing guidance on ML best practices, conducting code reviews, and fostering a collaborative and supportive team environment.

What do you need to bring

Bachelors/ Masters or Ph.D. in Computer Science, Statistics, Mathematics, or a related field

3-5 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 s tatistical analysis techniques, with hands-on experience in model development and evaluation

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.

Employment Type: Full Time, Permanent

Read full job description