דרושים Staff Data Scientist - Payments ב-Paypal ב-United States, San Jose

Essential Responsibilities:

• Develop clear objectives and priorities within content design to deliver results and meet organizational goals
• Influence decision-making at the senior leadership level
• Perform the most highly complex work assignments using domain knowledge and extensive business expertise
• Develop and deliver innovative content design strategies that enhance user experience and benefit customers and/or clients
• Lead major business projects which impact the content design unit or the product function
• Design, evaluate, and select process, product, and service improvements based on thorough understanding of business needs and industry trends

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:

• 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:

• Acts as a project or system leader, coordinating the activities of other engineers on the project or within the system
• Determines the technical tasks that other engineers will follow
• Actions result in the achievement of customer, operational, program or service objectives
• Proactively improves existing structures & processes
• Exercises judgement in reconciling diverse and competing priorities (time, quality, complexity risk) to identify optimal solutions to problems
• Notices patterns and condenses repetition into densely meaningful generalized solutions
• Collaborates with management to set/improve standards for engineering rigor
• Trusted to represent PayPal, Inc to the outside world via interactions with partners, customers, or industry organizations

Expected Qualifications:

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

• Experience in Spring boot and other frameworks in Java or python
• Experience in UI stack such as react or other
• Experience with large-scale, high-performance systems.
• Experience in running large scale CI/CD pipelines using Jenkins, Github or Harness
• Experience with cloud platforms (AWS, GCP, Azure).

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

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:

• Develop and articulate clear objectives in enhancing user and customer experiences that deliver results and meet organizational goals
• Influence decision-making at the senior leadership level
• Perform the most highly complex digital and physical products and services using domain knowledge and extensive business expertise
• Develop and deliver innovative strategies that benefit customers and product users
• Lead major business projects which impact the Experience Design job family
• Design, evaluate, and select process, product, and service improvements based on thorough understanding of user and customer needs and industry trends
• Mentor and guide junior team members in user-centered design practices.

Expected Qualifications:

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

As a Senior Staff Experience Designer, you’ll play a pivotal role in shaping how millions of users experience ads in the Venmo product. You’ll craft end-to-end experiences that not only solve complex problems but also inspire delight through thoughtful design, strategic insight, and compelling storytelling.You’ll partner closely with cross-functional teams—product, engineering, data, and marketing—to define what’s possible, align around a shared vision, and turn complex challenges into elegant, intuitive solutions. You’ll lead by example, guiding teams through ambiguity with clear thinking, strong communication, and a user-first mindset.As an early member of the ad platform team, you’ll have the opportunity to shape the experience by identifying opportunities for innovation, crafting cohesive journeys, and creating systems that are scalable, ethical, and impactful. You’ll champion design excellence across the organization, mentoring others and elevating the craft to ensure that every experience tells a compelling story and delivers measurable value.Job responsibilities:

• Lead end-to-end design strategy and execution for complex, high-impact initiatives that shape the future of Venmo’s ads ecosystem.
• Define and drive a cohesive vision across multiple products, ensuring consistency, usability, and delight in every interaction.
• Translate business goals and user insights into clear design strategies and scalable experience frameworks.
• Craft compelling narratives and storytelling that communicate design rationale, inspire teams, and influence senior stakeholders.
• Use data, research, experimentation, and a robust testing approach to measure impact and drive continuous improvements.
• Work with cross-functional team members driving the strategy, execution, and delivery for initiatives on our Venmo ads platform, using a customer-focused, iterative design process.
• Create high-quality deliverables and execute based on product design goals and priorities without prescriptive guidance or direction, managing work to a more extensive schedule.
• Create opportunities to foster collaborative cross-discipline dynamics. Drive product design team delivery excellence, furthering influence to achieve product design goals.
• Stay ahead of emerging trends in UX, advertising technology, and digital product design to inform innovation and differentiation.
• Contribute to the planning and estimating of work; maintain close connection to cross-product work streams
• Create well-crafted interactive prototypes, templates, and presentations
• Ability to work across design systems fluidly, and driving cohesion across related products and surfaces that span across the PayPal network
• Play an active role in our thriving, inspiring and rewarding UX Design practice and culture.

Requirements:

• At least 8+ years working in product design, with a substantial focus on consumer-facing ads.
• Bachelors, Masters, or equivalent experience in one of the following areas: Design, Information Architecture, Human Factors, or equivalent project/portfolio experience.
• A portfolio of work, showcasing design excellence in delivering impactful business outcomes, and a high bar for craft.
• Experience working in the B2C advertising space, either agency side or from within a consumer facing app.
• Mastery of product design methodology and lifecycle across significant channels and platforms.
• Customer-focused, with experience using design research methods to uncover customer insights.
• Effectively operates within an iterative design team, managing product design responsibilities against defined milestones and plans with little day-to-day oversight.
• Thorough knowledge of essential channels and platforms, with experience in mobile, dedicated, web and native solution design.
• Exceptional communication, presentation, and stakeholder management skills.
• Extensive experience working with resources such as pattern library, repositories, and internal communication tools.
• Sound understanding of technology mediums (i.e., JavaScript, HTML/CSS) including differences between them.
  

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 and manage data science projects, ensuring timely delivery and alignment with business goals.
• Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
• Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
• Collaborate with cross-functional teams to understand data needs and provide actionable insights.
• Ensure data quality and integrity through regular audits and validation processes.
• Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.

Expected Qualifications:

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

• At least 7 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
• At least 3 years of experience in managing analytics teams
• Data driven mindset with a Master’s or Ph.D. degree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics
• Experience in Advanced Analytics: Causal Inference and ML models.
• Fluent in SQL and Python
• Experience analyzing very large, complex, multi-dimensional data set
• Experience with one or multiple of the following will be highly desirable; Jupyter Notebooks, Teradata, Hadoop/Hive, BigQuery
• Domain expertise in payments or other financial services
• Exceptional communication skills, both written and verbal, to influence cross-functional teams
• Prior work experience in a product analytics space would be highly valued
• A passion for problem-solving and comfort with ambiguity

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