Senior Machine Learning Scientist jobs at Paypal in France

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.

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent 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.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Design and develop learning programs that align with business objectives, creating a blueprint for development and delivery that addresses specific learner needs.
• Collaborate with multiple cross-functional teams to assess learning needs and design effective learning programs that enhance employee skills and organizational performance.
• Lead the creation and customization of learning content, ensuring it aligns with the learner experience and is optimized for program objectives.
• Evaluate program effectiveness using feedback, performance metrics, recommending improvements to enhance learning outcomes.
• Support the development of the learning and development strategy, contributing to decision-making regarding resource allocation and program prioritization.

Expected Qualifications:

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

• Demonstrated expertise in learning product management, curriculum architecture, and multi-modal instructional design.

• Strong analytical skills with experience in measuring and reporting on learning impact.

• Experience managing vendors and learning platforms to support scalable program execution.

• Own the learning portfolio roadmap, defining priorities, sequencing, and lifecycle management of programs based on business demand, learner insights, and performance data.

• Apply product-management principles to learning solutions iterating based on feedback, piloting new approaches, and ensuring scalability and continuous improvement.

• Partner with data, analytics, and technology teams to measure portfolio performance, identify capability gaps, and inform future learning investments and innovation priorities.

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 .

Belonging at PayPal:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Uses data to build insights on product or platform requirements consistent with the shared vision for the product.
• Gathers insights from the customer experience and customer needs to input to product requirements
• Analyzes research, market analysis and usability studies, research and market analysis to support data-driven decision making
• Monitors product profitability measures, including budget.
• Lead sprint planning, daily standups and retrospectives to drive execution. Interfaces with product and technology leadership as needed.
• Partners with content developers, data scientists, product designers and user experience researchers to identify new opportunities.

Expected Qualifications:

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

• Proven track record of leading cross-functional groups and delivering results in fast paced, high-growth, and matrixed environments

• Deep empathy and appreciation of customer needs

• Demonstrated success delivering 0-1 products as well as scaling existing products

• Ability to grasp complex business/technical concepts, user scenarios, and business drivers, address ambiguity and make informed decisions

• Exceptional written, verbal, and listening communication skills and proficient communicating across a range of stakeholders

• Demonstrates strong analytical skills with a proven track record of leveraging quantitative data and metrics to inform product strategy and prioritize initiatives

• Has hands-on experience designing, implementing, and analyzing A/B tests to validate hypotheses and optimize product performance

• Proven track record multitasking and managing multiple releases concurrently

• A team player who puts people first and wants to win as a team

Preferred Requirements

• Advanced or master’s degree

• Prior experience at a FinTech or in the financial services space. We will also consider candidates with prior experience in credit, lending and adjacent domains.

• Experience launching and operating financial products in global markets

• Experience using AI to improve the effectiveness and efficiency of product delivery

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 $143,500 to $212,850

Belonging at PayPal:

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.

Responsibilities:

• Design, develop, and operationalize scalable machine learning and credit risk models, leveraging PySpark and advanced modeling frameworks.

• Build, train, and optimize statistical and deep learning models focused on credit scoring, fraud detection, and portfolio risk management.

• Collaborate cross-functionally with credit risk analysts, data engineers, and business teams to translate analytical requirements into production-grade credit modeling solutions.

• Ensure model robustness, accuracy, and compliance through rigorous validation, back-testing, and performance monitoring.

• Develop and maintain automated ML pipelines for data ingestion, feature engineering, model training, and deployment across large-scale credit datasets.

• Implement and enhance MLOps practices, including model integration, model monitoring.

• Research and experiment with innovative modeling techniques (e.g., gradient boosting, neural networks, graph-based learning) to improve credit decisioning capabilities.

• Mentor junior team members, conduct peer code reviews, and promote engineering excellence within the credit modeling domain.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Statistics, or a related quantitative field.

• 6+ years of experience in machine learning model development and deployment, preferably in the financial services or credit risk domain.

• Strong programming proficiency in Python and SQL, with hands-on experience using PySpark for large-scale data processing.

• Deep understanding of ML frameworks such as TensorFlow, Keras, or PyTorch.

• Expertise in distributed computing, scalable data pipelines, and model optimization techniques.

• Proven experience deploying models in production cloud environments (AWS, GCP, or Azure).

• Demonstrated ability to write clean, well-documented, and production-ready code.

Preferred Qualifications:

• Experience in credit risk modeling.

• Understanding of model governance frameworks, ML explainability (e.g., SHAP, LIME), and regulatory compliance.

• Familiarity with feature store architectures, model drift detection, and automated model retraining workflows.

• Knowledge of data privacy and compliance practices relevant to credit data.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Oversee tactical plans to execute the payment partnership strategy effectively.
• Cultivate and manage relationships with mid-to-senior-level stakeholders at partner organizations.
• Negotiate agreements that align with strategic goals and deliver value to both parties.
• Coordinate with internal teams (e.g., product, marketing, legal) to implement partnership initiatives.
• Monitor partnership performance metrics to ensure alignment with business objectives.
• Identify opportunities for collaboration to enhance product offerings and market reach.
• Respond proactively to changes in industry regulations and competitive trends.
• Drive partnership goals and progress to internal stakeholders.
• Facilitate knowledge sharing between internal teams and external partners to drive innovation.
• Support the Director in shaping long-term strategies and preparing for executive-level discussions.

Expected Qualifications:

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

Key Responsibilities

• Lead negotiations with potential external partners and ecosystem participants while engaging with various internal colleagues to ensure successful delivery of solutions in a complex, rapidly changing environment spanning traditional, centralized and decentralized financial vectors.
• Drive growth among key existing partnerships on behalf of PayPal Crypto
• Identify, explore, and bring to market new partnerships, collaborations, and distribution opportunities that expand the utility and ubiquity of PYUSD and PayPal Crypto products
• Serve as a subject matter expert of our stablecoin, PayPal USD, and the PayPal Crypto product portfolio while working with PayPal’s robust global merchant account and sales teams.

Ideal Experience

• Expert domain expertise across business development and commercial negotiation, especially in fintech and/or payments with international and cross-border components.
• Knowledge of blockchain protocols, TradFi, Centralized, DeFi, and Agentic ecosystems, with an established network among both retail and institutional crypto platforms.
• Demonstrated business and product knowledge within the payments ecosystem, particularly in high-risk verticals for B2B, B2C and B2B2C use cases.
• Data-driven decision making skills along with a customer/ partner-centric perspective with results that display a high ability to influence external stakeholders.
• Documented track record displaying successful negotiation and delivery of high-impact partnerships that achieve measurable results.

Critical Leadership Capabilities

• Problem solving mindset
• Demonstrates accountability, attention to detail and ability to handle complex situations with multiple workstreams and internal/external stakeholders.
• Excellent interpersonal skills, including the ability to work across the organization andinteract/influence/negotiateeffectively at all levels of management and peers
• Empathy and ability to address problems from the partner and end-user point of view
• Initiative and ownership to resolve day to day obstacles and judgment to escalate where/as needed

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 .

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Our Benefits:

Any general requests for consideration of your skills, please

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Essential Responsibilities:

• Performs the most highly complex SaaS and enterprise-wide applications assignments using enterprise systems knowledge and extensive business expertise
• Leads large and complex cross-functional and cross-organizational enterprise systems projects and programs with high visibility
• Designs, evaluates, and selects process, product, and service improvements based on thorough understanding of business needs and industry trends
• Develops, evaluates, and selects standards, tools, and knowledge requirements for skill and career development

Minimum Qualifications:

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

• Delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC) (design, implementation, testing, delivery and operations), based on definitions from more senior roles.

• Advises immediate management on project-level issues

• Guides junior engineers

• Operates with little day-to-day supervision, making technical decisions based on knowledge of internal conventions and industry best practices

• Applies knowledge of technical best practices in making decisions

Expected Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Additional Qualifications

• Proficiency in Java, with extensive experience using Java EE, Spring MVC, or Hibernate.

• Proven track record in architecting and developing large-scale backend systems, including RESTful APIs and microservices.

• Strong expertise in distributed systems, cloud-native architectures, and containerization technologies such as Docker and Kubernetes.

• Experience with large-scale data processing, caching strategies, and performance optimization.

• Demonstrated ability to lead engineering initiatives, influence design decisions, and mentor teams in a collaborative environment.

Preferred Qualifications

• Experience working in Agile environments and developing high-performance, large-scale systems.

• Familiarity with the payment processing industry and related compliance or regulatory standards.

• Hands-on experience with cloud platforms (AWS, GCP, or Azure).

• Contributions to open-source projects or active engagement in the developer community .

The total compensation for this position 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 U.S. national annual pay range for this role is $to $

Our Benefits:

Any general requests for consideration of your skills, please