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PayPal

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3.9

based on 894 Reviews

2 PayPal Machine Learning Scientist Jobs

Machine Learning Scientist 3

PayPal Holdings, Inc.

3.9

based on 894 Reviews

4-9 years

Bangalore / Bengaluru

1 vacancy

Machine Learning Scientist 3

PayPal

posted 12hr ago

Job Role Insights

Flexible timing

Key skills for the job

Data Science Data Analytics Customer Service Python Automation Testing Machine Learning

+ 2 more

Job Description

In 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

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.

What do you need to bring-

Bachelors/Masters or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
4+ 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 techniques, with hands-on experience in model development and evaluation
Experience with Large Language Models (LLMs) and other transformer-based architectures is preferred
Proven track record of delivering actionable insights and driving business impact through data-driven decision-making