דרושים Staff Machine Learning Scientist ב-Paypal ב-צרפת

Essential Responsibilities:

• Define and lead the learning and development strategy for key business functions, ensuring alignment with business goals and the long-term development roadmap.
• Ensure the design, architecture, and execution of large-scale learning programs, establishing metrics and evaluation processes to assess effectiveness and drive continuous improvement based on data-driven decisions.
• Collaborate with senior business leaders and cross-functional teams to assess learning needs, create targeted solutions, and ensure the scalability and effectiveness of learning programs.
• Provide thought leadership and mentorship to Learning & Development team members, fostering an innovative and collaborative team culture that drives performance and achieves outcomes.
• Leverage insights from market best practices, emerging trends, and industry benchmarks to influence long-term learning strategy, ensuring the organization is competitive and responsive to future learning needs.
• Oversee the budget and resource allocation for learning programs, manage relationships with external vendors, and ensure cost-effective procurement of learning resources, tools, and technologies while maintaining alignment with business priorities.

Expected Qualifications:

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

• 10+ years relevant experience and a bachelor’s degree OR Any equivalent combination of education and experience.
• Experience in learning & development, technology training, or related fields.
• Bachelor’s degree in a relevant discipline, or equivalent combination of education and experience.
• Proven success designing and delivering large-scale learning programs for technical audiences.
• Strong ability to partner with executives and cross-functional teams to align learning with strategic priorities.
• Deep understanding of developer workflows, modern engineering practices, and emerging tools.
• Exceptional communication, leadership, and change management skills

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

This job acts as a project leader, coordinating the activities of other engineers, determining technical tasks, and improving existing structures and processes. It involves making technical decisions, collaborating with management to set standards, and representing the company to external partners.

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:

• Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience.

As an iOS Software Engineer, you will:

• Be a strategic thinker and problem solver.
• Define and execute the mobile technology roadmap.
• Build and lead high-performing mobile engineering teams.
• Drive innovation and experimentation in mobile development.
• Collaborate with cross-functional teams to deliver world-class mobile experiences.
• Mentor and coach senior engineers and foster a culture of innovation and experimentation.
• Partner effectively with product and engineering leadership to Oversee mobile architecture and design.

What you need to bring:

• Bachelor's degree in Computer Science or a related field.
• 8+ years of hands-on mobile development experience (iOS and/or Android).
• Experience in designing, developing and delivering software and/or platforms (libraries)
• Deep expertise in mobile technologies and architecture.
• Solid understanding of Cocoa Frameworks
• Strong object-oriented skills including design, coding and testing patterns.
• Familiarity with database technologies (SQL and NoSQL databases) and ORM frameworks (Hibernate, JPA).
• Ability to design scalable, reliable, and maintainable software systems.
• Thorough understanding of XCode
• Proven ability to lead and influence cross-functional teams.

Preferred Qualifications:

• Experience with mobile payment technologies and integrations
• Proficiency in Swift, Objective-C, Kotlin, Java, and React Native.
• Familiarity with continuous integration (Jenkins), application monitoring (Crashlytics and fabric.io), mocking tools (Appium and Apiary), build tool development and enhancements, using unit testing and cucumber tests for functional tests
• Familiar and comfortable with iOS technologies, the trade offs, and the design patterns emerging.
• Knowledge of mobile performance optimization techniques.
• Experience with machine learning and AI in mobile applications.
• Knowledge of emerging mobile technologies (AR, VR, wearables).
• Strong ability to influence and inspire teams.

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 $

Any general requests for consideration of your skills, please

This job acts as a project leader, coordinating the activities of other engineers, determining technical tasks, and improving existing structures and processes. It involves making technical decisions, collaborating with management to set standards, and representing the company to external partners.

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.

Our Benefits:

Any general requests for consideration of your skills, please

This job will develop and implement data science models and algorithms to support business needs. You will work with stakeholders to understand data requirements and deliver solutions. Your role involves ensuring data quality, optimizing data processes, and collaborating with cross-functional teams.

Essential Responsibilities:

• Develop and implement data science models and algorithms.
• Analyze and interpret complex data sets.
• Ensure data quality and integrity.
• Collaborate with stakeholders to understand data requirements.
• Optimize data processes for efficiency and performance.
• Perform advanced statistical analysis and reporting.

Minimum Qualifications:

• Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.

Summary:
What you need to know about the role
• Global Fraud Prevention resides in the Global Risk Management (GRM) organization that supports various business lines in optimizing risk and rewards to enable profitable business growth

• You will work with a team of global risk professionals focusing on managing the Americas acquisition strategies to support the growth of Small Medium Business (SMB) line of business Globally

Meet our team:
• This role reports to the Senior Manager of Global SMB Onboarding Risk Management. In addition, you will work closely with SMB business leaders, Risk Products, Decision Science, Fraud Operations, and Engineering to execute on the acquisition risk management roadmap that you and your team will develop to mitigate 3rd party fraud and 1st party abuse as well as money movement risks.

Your way to Impact

• You will provide solutions to address tactical and strategic business problems with your strong analytical skills and support the profitable growth of SMB portfolio.
• You will work closely with business stakeholders to develop an acquisition roadmap to support profitable business growth and trade-offs. Defining team objectives and executing on those objectives to drive profitable growth across the different regions, with particular focus in the American region

Your day-to-day

In your day-to-day role you will:

• Conduct thorough analysis with all available data tools and provide detailed insights which can be transformed into risk strategies that balances risk/reward trade-offs.
• Set up detailed portfolio monitoring to ensure there is no fraud pressure and work with peers to mitigate fraud with a high level of urgency.
• Continuously manage credit exposure and conduct sensitivity testing to optimize strategy.
• Work closely to evaluate internal models and implement them in our risk strategies.
• Partner with product and platform team to execute risk strategies and conduct A/B testing to optimize onboarding funnel.
• Be the voice of risk management and help solve complex problems within defined risk box

What do you need to bring

• 2+ years of experience in financial technology, banking, or payments in developing and implementing risk strategies to mitigate losses.
• Strong knowledge in data analytics to extract, analyze and transform data into risk strategy recommendations for profitable business growth.
• Knowledge of existing/emerging regulatory frameworks related to consumer and SMB acquisition.
• Having experience in a Fintech working with Product and Engineering organization is a plus
• Well organized, with the ability to thrive in a fast-paced work environment and manage numerous projects simultaneously under deadline pressure
• A high level of intellectual, professional, and interpersonal agility/flexibility, combined with stronganalytical/problem-solvingskills
• Demonstrated ability to build/maintain relationships with key stakeholders to execute the risk roadmap.
• Strong communication skills in explaining complex matters in a simple and clear manner.

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.

• Advanced degree (Master's or Ph.D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field.
• Strong knowledge of statistical and machine learning techniques, including but not limited to logistic regression, time-series modeling, random forests, support vector machines, gradient boosting (e.g., XGBoost), and deep learning architectures (e.g., CNNs, RNNs).
• Proficiency in programming and big-data technologies, with hands-on experience in tools such as Python (Scikit-learn, TensorFlow), SQL, Hadoop, and Spark.
• Relevant modeling experience in one or more of the following domains: credit risk scoring, fraud detection, financial forecasting, or marketing analytics - gained through industry or academic research.
• Strong collaboration and communication skills, with the ability to work effectively both independently and as part of a cross-functional team.
• Ability to articulate complex technical concepts clearly to non-technical stakeholders and build constructive working relationships across functions.

Preferred Qualifications

• Experience with Large Language Models (LLMs), Agentic AI, or related generative AI applications.
• Familiarity with model governance, model risk management, or AI regulatory compliance frameworks (e.g., SR 11-7, OCC 2011-12, EU AI Act) is a plus.

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 $137,500 to $236,500

Belonging at PayPal:

Any general requests for consideration of your skills, please

This job involves leading complex projects that enhance user experiences across various platforms. They participate in problem resolution by applying functional expertise and industry knowledge, developing methods for new assignments to improve processes. Responsibilities include collaborating with teams to implement global process improvements based on user insights and mentoring junior team members in user-centered design practices.

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.

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

This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Essential Responsibilities:

• Lead the development and optimization of advanced machine learning models.
• Oversee the preprocessing and analysis of large datasets.
• Deploy and maintain ML solutions in production environments.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models, making necessary adjustments.

Minimum Qualifications:

• Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.

Our Benefits:

Any general requests for consideration of your skills, please