Mts - Machine Learning Scientist jobs at Paypal in France

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 .

Our Benefits:

Any general requests for consideration of your skills, please

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 .

Belonging at PayPal:

Any general requests for consideration of your skills, please

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

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.

• Proficiency in SQL for data extraction and transformation.
• Strong programming skills in Python , including libraries like Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn.
• Solid understanding of experimental design (A/B testing, control/treatment groups, etc.).
• Knowledge of statistical inference techniques (confidence intervals, hypothesis testing, p-values).
• Familiarity with machine learning algorithms — both supervised (e.g., linear/logistic regression, decision trees) and unsupervised (e.g., clustering, PCA).

Belonging at PayPal:

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.

Our Benefits:

Any general requests for consideration of your skills, please

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.

Expected 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.

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