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Product Data Scientist jobs at Paypal in United States, San Jose

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United States
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San Jose
180 jobs found
19.11.2025
PP

PayPal Staff AI Research Scientist United States, California, San Jose

Limitless High-tech career opportunities - Expoint
Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate...
Description:

Essential Responsibilities:

  • Develop and optimize machine learning models for various applications.
  • Preprocess and analyze large datasets to extract meaningful insights.
  • Deploy ML solutions into production environments using appropriate tools and frameworks.
  • Collaborate with cross-functional teams to integrate ML models into products and services.
  • Monitor and evaluate the performance of deployed models.

Expected Qualifications:

  • 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
  • Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
  • Several years of experience in designing, implementing, and deploying machine learning models.

Key Responsibilities:

  • Research and develop large-scale foundation models, including continuous pre-training, supervised fine-tuning, and alignment techniques

  • Design novel architectures and training methodologies for domain-specific language models in financial services

  • Build scalable ML pipelines for foundation model training, evaluation, and deployment at enterprise scale

  • Conduct rigorous experimentation and benchmarking to ensure model quality, safety, and performance

  • Deploy foundation models into production environments to drive business insights and enhance customer experiences

  • Collaborate with cross-functional teams to identify high-impact use cases and translate research into practical solutions

  • Stay current with latest developments in LLM and LLM-Agent research and contribute to the broader AI/ML community through publications and open-source contributions

  • Mentor junior researchers and contribute to technical strategy for foundation model initiatives

Preferred Qualifications:

  • PhD in Computer Science, Machine Learning, AI, or related field with focus on large language models and LLM Agent

  • 1-3+ years of hands-on experience training and deploying large-scale language models (7B+ parameters)

  • Deep expertise in transformer architectures, attention mechanisms, and modern training techniques

  • Experience with distributed training frameworks (PyTorch, JAX, DeepSpeed, etc.)

  • Strong background in NLP, deep learning, and statistical machine learning

  • Proven track record of research publications in top-tier venues (NeurIPS, ICML, ACL, etc.)

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $169,500 to $291,500


Our Benefits:

Any general requests for consideration of your skills, please

Show more
19.11.2025
PP

PayPal Sr Lead Product Manager United States, California, San Jose

Limitless High-tech career opportunities - Expoint
Drives product strategy with cross-functional stakeholders consistent with the shared vision for the product or enabling platform. Plans and implements the architectural roadmap that balances innovative design and technical implementation,...
Description:

This job will involve creating new two sided ecosystems and networks on Venmo. It involves strong 0 to 1 product development skills and ability define strategy and move fast with conviction.

Essential Responsibilities:

  • Drives product strategy with cross-functional stakeholders consistent with the shared vision for the product or enabling platform.
  • Plans and implements the architectural roadmap that balances innovative design and technical implementation, while balancing regulatory requirements, time-to-market, meeting customer needs and product profitability.
  • Assesses the customer experience and customer needs in product requirements and decision making.
  • Sets up data gathering mechanisms relative to the metrics that inform the success of products including usability studies, research and market analysis.
  • Leads workstreams to include analytics, customer discovery, market research and competitive analysis to drive data-driven decision-making.
  • Oversees product profitability measures, including budget.
  • Plans operational mechanisms that drive execution and accountability including Product Reviews, Operating Reviews, and Business Reviews. Interfaces with product and technology leadership as needed.
  • Partners with content strategists, data scientists, product designers and user experience researchers.
  • Maximizes efficiency in a constantly evolving environment where the process is fluid and creative solutions are the standard.

Expected Qualifications:

  • 8+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $169,500 to $291,500


Our Benefits:

Any general requests for consideration of your skills, please

Show more

These jobs might be a good fit

19.11.2025
PP

PayPal Principal AI Product Manager United States, California, San Jose

Limitless High-tech career opportunities - Expoint
Establish a shared vision across the company for one or more products, or a platform product enabling development & scalability, with a deliberate and cohesive strategy. Leads product strategy development,...
Description:

You will partner with data scientists, ML engineers, and functional leaders across domains to define, deliver, and scale intelligent automation and generative AI use cases that transform how PayPal works.This role sits at the intersection of AI strategy, product innovation, and enterprise transformation. You’ll define the blueprint for how PayPal applies AI to unlock human potential — not just building models, but reshaping work itself.

Essential Responsibilities:

  • Establish a shared vision across the company for one or more products, or a platform product enabling development & scalability, with a deliberate and cohesive strategy.
  • Leads product strategy development, and develops a clear, executable view of the product strategy with cross-functional stakeholders.
  • Influences the architectural roadmap and balances innovative design and technical implementation, while balancing regulatory requirements, time-to-market, meeting customer needs and product profitability.
  • Champions the customer experience and prioritizes customer needs in product requirements and decision making.
  • Defines and uses metrics that inform the success of products including usability studies, research and market analysis.
  • Standardizes workstreams to include analytics, customer discovery, market research and competitive analysis to drive data-driven decision-making.
  • Responsible for product profitability, including budgetary decisions.
  • Leads operational mechanisms that drive execution and accountability including Product Reviews, Operating Reviews, and Business Reviews. Interfaces with senior leadership as needed.
  • Maximizes efficiency in a constantly evolving environment where the process is fluid and creative solutions are the standard.

Expected Qualifications:

  • 10+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $188,000 to $323,950


Our Benefits:

Any general requests for consideration of your skills, please

Show more

These jobs might be a good fit

19.11.2025
PP

PayPal Sr Data Scientist United States, California, San Jose

Limitless High-tech career opportunities - Expoint
Lead the development and implementation of advanced data science models. Collaborate with stakeholders to understand requirements. Drive best practices in data science. Ensure data quality and integrity in all processes....
Description:

This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.

Essential Responsibilities:

  • Lead the development and implementation of advanced data science models.
  • Collaborate with stakeholders to understand requirements.
  • Drive best practices in data science.
  • Ensure data quality and integrity in all processes.
  • Mentor and guide junior data scientists.
  • Stay updated with the latest trends in data science.

Expected Qualifications:

  • 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Additional Responsibilities & Preferred Qualifications

Additional Responsibilities & Preferred Qualifications
-Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

-Strong analytical and problem-solving mindset, with a degree in a quantitative field such as Data Science, Computer Science, Engineering, Statistics, Mathematics, Economics, or a related discipline
-4+ years of experience in Product Data Science, including A/B testing and experimentation, advanced analytics, and applied machine learning-Advanced proficiency in SQL and Python, with expertise in working with large-scale, complex datasets to derive actionable insights-Hands-on experience with modern data tools and platforms such as Jupyter Notebooks, BigQuery, Teradata, Hadoop, or Hive is highly desirable
-Exceptional communication and data storytelling skills, with the ability to distill complex findings for both technical and non-technical audiences and influence cross-functional decision-making-Prior work experience inanalytics space would be highly valued

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $123,500 to $212,850


Our Benefits:

Any general requests for consideration of your skills, please

Show more

These jobs might be a good fit

19.11.2025
PP

PayPal Principal Product Manager United States, California, San Jose

Limitless High-tech career opportunities - Expoint
Drives product strategy with cross-functional stakeholders consistent with the shared vision for the product. Plans and implements the architectural roadmap that balances innovative design and technical implementation, while balancing regulatory...
Description:

This job drives product strategy in alignment with a shared vision, collaborating with cross-functional stakeholders. It includes planning and implementing an architectural roadmap that balances innovative design with regulatory requirements and customer needs. The position assesses customer experience and establishes data-gathering mechanisms to measure product success through usability studies and market analysis. Responsibilities also encompass overseeing product profitability, leading operational reviews, and partnering with various experts to maximize efficiency in a dynamic environment. This job is an individual contributor.


Essential Responsibilities:

  • Drives product strategy with cross-functional stakeholders consistent with the shared vision for the product.
  • Plans and implements the architectural roadmap that balances innovative design and technical implementation, while balancing regulatory requirements, time-to-market, meeting customer needs and product profitability.
  • Assesses the customer experience and customer needs in product requirements and decision making.
  • Sets up data gathering mechanisms relative to the metrics that inform the success of products including usability studies, research and market analysis.
  • Leads workstreams to include analytics, customer discovery, market research and competitive analysis to drive data-driven decision-making.
  • Oversees product profitability measures, including budget.
  • Plans operational mechanisms that drive execution and accountability including Product Reviews, Operating Reviews, and Business Reviews. Interfaces with product leadership as needed.
  • Partners with content strategists, data scientists, product designers and user experience researchers.
  • Maximizes efficiency in a constantly evolving environment where the process is fluid and creative solutions are the standard.

Expected Qualifications:

  • Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.

Product & Performance Initiatives

  • Drive product initiatives that improve customer and merchant performance across adoption, engagement, and retention.
  • Collaborate with peer product managers to ensure consistency and alignment across PayPal’s portfolio.
  • Define product requirements that balance innovation, regulatory compliance, and customer trust.

Data-Driven Execution

  • Establish experimentation and measurement practices that guide prioritization and accelerate learning.
  • Partner with data science and product teams to build predictive models that address adoption, engagement, and performance health.
  • Leverage analytics and research to uncover performance opportunities and guide investment decisions.

AI & Emerging Technology

  • Champion AI/ML capabilities that improve scalability, cost efficiency, and product performance.
  • Partner with engineering and product peers to operationalize emerging technologies into merchant and customer solutions.
  • Explore innovative approaches to deliver differentiated experiences across multiple product areas

Cross-Functional Leadership

  • Collaborate with engineering, design, data science, and peer product managers to deliver cohesive platform capabilities.
  • Work with merchant, sales, and go-to-market teams to ensure PayPal delivers measurable improvements in merchant performance.
  • Support operational reviews (product reviews, OKRs, portfolio planning) that create visibility and accountability across teams.

Experience

  • 6-10 years in product management, product strategy, or performance-focused roles.
  • Strong track record of launching products that deliver measurable adoption and business impact.
  • Experience with AI/ML integration, experimentation design, and analytics-driven decision-making.
  • Background in global or platform businesses, preferably in payments, fintech, or commerce ecosystems.

Skills & Competencies

  • Ability to influence peers and stakeholders across product, engineering, design, and business teams.
  • Data-driven mindset with strong analytical and problem-solving skills.
  • Comfort operating in fast-paced, ambiguous environments with evolving priorities.
  • Strategic thinking paired with strong execution discipline.

Education

  • Bachelor’s degree in Computer Science, Business, Engineering, or related field required.
  • Advanced degree (MBA/MS) preferred but not required.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $188,000 to $323,950

Any general requests for consideration of your skills, please

Show more

These jobs might be a good fit

19.11.2025
PP

PayPal Data Scientist United States, California, San Jose

19.11.2025
PP

PayPal Manager Product Growth United States, California, San Jose

Limitless High-tech career opportunities - Expoint
Drive revenue growth and global market expansion by identifying and cultivating strategic partnerships, channels, and opportunities. Lead the negotiation with external partners and engage cross-functional support colleagues to ensure the...
Description:

Essential Responsibilities:

  • Drive revenue growth and global market expansion by identifying and cultivating strategic partnerships, channels, and opportunities
  • Lead the negotiation with external partners and engage cross-functional support colleagues to ensure the successful delivery of solutions for large complex partnerships.
  • Develop and execute an overall business strategy to identify and cultivate strategic partnerships, channels, and opportunities to drive revenue growth and global market expansion.
  • Influence the negotiation with external partners, engaging cross-functional support colleagues, to ensure successful delivery of solutions for large complex partnerships.
  • Align product and business levers (such as pricing and FX) to maximize revenue and market expansion opportunities.
  • Engage closely with product, engineering, and architecture teams to drive the architectural runway and determine the best technicalimplementation/design.
  • Represent the end customer on an ongoing basis and use this knowledge to drive effective prioritization and decision-making.
  • Collaborate and influence product outcomes in a matrix organization with multiple stakeholders such as Engineering, Operations, Risk, Legal, Sales, Business Development, Marketing, Finance, and Banking Partners.

Expected Qualifications:

  • 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $100,500 to $173,250


Our Benefits:

Any general requests for consideration of your skills, please

Show more

These jobs might be a good fit

Limitless High-tech career opportunities - Expoint
Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate...
Description:

Essential Responsibilities:

  • Develop and optimize machine learning models for various applications.
  • Preprocess and analyze large datasets to extract meaningful insights.
  • Deploy ML solutions into production environments using appropriate tools and frameworks.
  • Collaborate with cross-functional teams to integrate ML models into products and services.
  • Monitor and evaluate the performance of deployed models.

Expected Qualifications:

  • 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
  • Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
  • Several years of experience in designing, implementing, and deploying machine learning models.

Key Responsibilities:

  • Research and develop large-scale foundation models, including continuous pre-training, supervised fine-tuning, and alignment techniques

  • Design novel architectures and training methodologies for domain-specific language models in financial services

  • Build scalable ML pipelines for foundation model training, evaluation, and deployment at enterprise scale

  • Conduct rigorous experimentation and benchmarking to ensure model quality, safety, and performance

  • Deploy foundation models into production environments to drive business insights and enhance customer experiences

  • Collaborate with cross-functional teams to identify high-impact use cases and translate research into practical solutions

  • Stay current with latest developments in LLM and LLM-Agent research and contribute to the broader AI/ML community through publications and open-source contributions

  • Mentor junior researchers and contribute to technical strategy for foundation model initiatives

Preferred Qualifications:

  • PhD in Computer Science, Machine Learning, AI, or related field with focus on large language models and LLM Agent

  • 1-3+ years of hands-on experience training and deploying large-scale language models (7B+ parameters)

  • Deep expertise in transformer architectures, attention mechanisms, and modern training techniques

  • Experience with distributed training frameworks (PyTorch, JAX, DeepSpeed, etc.)

  • Strong background in NLP, deep learning, and statistical machine learning

  • Proven track record of research publications in top-tier venues (NeurIPS, ICML, ACL, etc.)

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $169,500 to $291,500


Our Benefits:

Any general requests for consideration of your skills, please

Show more
Find your dream job in the high tech industry with Expoint. With our platform you can easily search for Product Data Scientist opportunities at Paypal in United States, San Jose. Whether you're seeking a new challenge or looking to work with a specific organization in a specific role, Expoint makes it easy to find your perfect job match. Connect with top companies in your desired area and advance your career in the high tech field. Sign up today and take the next step in your career journey with Expoint.