Director Machine Learning Engineering jobs at Paypal in France

This job will design, develop, and implement 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:

• 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 .

The US national annual pay range for this role is $84,500 to $140,250

Belonging at PayPal:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Develop and implement the overall data science strategy, aligning with corporate goals and objectives.
• Lead the design and execution of advanced data science projects to support strategic decision-making.
• Collaborate with executive leadership to identify and prioritize data-driven opportunities.
• Oversee the development and maintenance of data infrastructure, ensuring scalability and efficiency.
• Ensure compliance with data privacy and security regulations.
• Drive innovation in data science practices and tools, staying ahead of industry trends.

Expected Qualifications:

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

• Lead the development of analytics frameworks and dashboards for card network reporting and marketplace signal curation
• Oversee data pipeline architecture, ETL processes, and data delivery mechanisms for external risk signal marketplace
• Build and maintain risk narrative templates and storytelling frameworks for card network partners
• Partner with Risk Partnerships and Product teams to define marketplace signal catalog and quality standards
• Establish team KPIs and manage performance of analytics professionals
• Collaborate with Data Science, Data Engineering, and Risk Operations to source, validate, and deliver risk signals
• Develop long-range analytics roadmap aligned with card network partnership strategy and marketplace growth
• Present insights to senior leadership, card network executives, and potential marketplace customers
• Ensure data quality, accuracy, and compliance in all card network responses and marketplace data products
• Drive innovation in fraud and credit risk analytics methodologies and signal development

What do you need to bring

• Deep expertise in risk analytics for payments, fraud prevention, and credit risk

• Proven experience managing high-performing analytics teams

• Proficiency in SQL, Python, and BI tools (Tableau, PowerBI)

• Experience building scalable data products and API-based delivery mechanisms

• Understanding of data marketplace platforms and B2B data commercialization

• Track record of influencing decisions at the executive level through data insights

• Strong technical acumen to partner effectively with Data Engineering and Product teams

• Experience with cloud data platforms (GCP, Snowflake, or similar)

• Fintech or payments industry experience required

• Familiarity with fraud and credit risk analytics methodologies and signal development

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

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:

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

• Lead and coordinate SMB-wide strategic initiatives that cut across products, segments, and geographies
• Partner with Product, Sales, Marketing, and Operations to design and launch new go-to-market plays such as vertical strategies, geo expansions, or cross-product pilots
• Identify, test, and scale short- and mid-term growth levers that unlock SMB acceleration and engagement
• Translate enterprise and SMB strategies into executable programs with clear objectives, KPIs, and ownership models
• Drive alignment, prioritization, and sequencing of initiatives across cross-functional teams to ensure focus on the most impactful opportunities
• Over time, lead and develop a small, high-performing team responsible for execution excellence and stakeholder alignment
• Partner with Finance and Analytics to monitor business performance, identify acceleration opportunities, and recommend tactical actions
• Provide senior-level visibility into SMB-wide progress and outcomes, fostering transparency, accountability, and collaboration across functions

Expected Qualifications

• 10-12+ years of relevant experience in strategic execution, go-to-market, or business operations roles
• Strong ability to connect strategic thinking with hands-on execution and organizational influence
• Demonstrated experience managing cross-functional initiatives in dynamic, multi-product environments
• Proven people management experience, leading and developing teams
• Excellent analytical, communication, and executive storytelling skills
• Experience working in SMB, product, or growth environments preferred
• Strong ability to operate in a matrixed, fast-paced global organization and deliver measurable business results

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 $152,500 to $262,350

Our Benefits:

Any general requests for consideration of your skills, please

This job will design, develop, and implement 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. Experie

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:

• 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:

• 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 $152,500 to $262,350

Our Benefits:

Any general requests for consideration of your skills, please

This job oversees critical corporate processes, including strategic initiatives analysis and planning. You will discover new opportunities for business growth and optimization through analytics and financial modeling, you will influence the development of strategic plans, annual budgets, and monthly forecasts, direct FP&A business and technology activities, and enhance the FP&A systems roadmap. You will need to navigate the complexities of the matrix organization to enable yourself and the team to deliver business results. Additionally, you will help your team perform at its best, retaining and recruiting the best talent.

Essential Responsibilities:

• Lead critical processes such as driving key strategic initiatives analysis and planning
• Discover new opportunities to grow and optimize the business through analytics and financial modeling
• Influence the development of strategic plans, annual financial budgets, and monthly forecasts
• Direct FP&A business and technology run the business activities and key initiatives
• Enhance FP&A systems roadmap and align data structures
• Investigate and explain drivers of change in key business and performance drivers
• Ensure a deep understanding of our overall business and identify key business levers
• Perform analyses and communicate key findings to various stakeholders

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 $152,500 to $262,350

Our Benefits:

Any general requests for consideration of your skills, please