דרושים Senior Product Data Scientist Venmo ב-Paypal ב-United States, San Jose

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 .

Our Benefits:

Any general requests for consideration of your skills, please

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 .

Our Benefits:

Any general requests for consideration of your skills, please

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 .

Our Benefits:

Any general requests for consideration of your skills, please

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.

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 .

Our Benefits:

Any general requests for consideration of your skills, please

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 .

Any general requests for consideration of your skills, please

Job Description:

Minimum Requirements: Master’s degree, or foreign equivalent, in Data Science, Data Analytics, or a closely related field plus two years of experience in the job offered or a related occupation.

Special Skill Requirements:

• Performing scalable analysis using R and Python [2 years]

• Database query languages including SQL [2 years]

• Statistical analysis, including descriptive statistics, correlation, regression, or confidence intervals [2 years]

• Developing relevant metrics or KPIs to measure performance by product teams [2 years]

• Debugging and monitoring for production services [2 years]

• Experimentation techniques including A/B testing or simulation [1.5 years]

• Quantitative modeling, including machine learning models, time series forecasting or casual impact analyses [1.5 years]

• Data analysis or machine learning systems [2 years]

Salary:$174,304.00-243,500.00per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Performs SaaS and enterprise-wide applications assignments using specialized enterprise systems knowledge and developed business expertise
• Leads enterprise-wide applications projects and/or programs within PayPal with moderate scope impacting information technology or enterprise systems functions
• Analyzes, evaluates, and makes decisions within general parameters under broad supervision
• May act as an enterprise systems resource for entry level and developing colleagues

Expected Qualifications:

• 3+ 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 .

Our Benefits:

Any general requests for consideration of your skills, please