Data Scientist jobs at Paypal in France

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

This job will will lead the design and implementation of complex data systems and architectures. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data engineering, ensuring data quality, and building platforms with LLM driven insights.

Essential Responsibilities:

• Lead the design and development of complex data pipelines for data collection and processing.
• Develop and maintain advanced data storage solutions.
• Ensure data quality and consistency through sophisticated validation and cleansing processes.
• Implement advanced data transformation techniques to prepare data for analysis.
• Collaborate with cross-functional teams to understand data requirements and provide innovative solutions.
• Optimize data engineering processes for performance, scalability, and reliability.

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

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

This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.

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

•Regional Ecosystem Risk Management resides in the Global Ecosystem Risk & Solution organization that is part of Global Risk Management (GRM) organization that supports various business lines in optimizing various risk strips and rewards to enable profitable business growth within risk appetite.
•You will support and execute various initiatives to solve different risk challenges across the PayPal ecosystem.
•Areas of responsibility include but are not limited to different regional market risk management from onboarding to lifecycle strategy in risk grading, funds availability, transaction rule optimization, etc.
•You will be partnering with other GRM teams and Business Unit and Product leaders in executing the roadmap outlined by the Business unit that balances Business Unit objectives and OKRs while design with intent to meet the risk appetite.

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.

• 5+ years of experience in financial technology, banking, processor, or payments with deep subject matter expertise and execution in managing data-based strategies to separate fraud and credit risks in deposits, credit cards, or acquiring products.
• Have experience managing consumer or Small Medium Business (SMB) fraud and credit risk in the US, EU, APAC or Americas. Experience in multiple markets is a plus.

Belonging at PayPal:

Any general requests for consideration of your skills, please

This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.

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

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.

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 .

The US national annual pay range for this role is $0 to $0

Our Benefits:

Any general requests for consideration of your skills, please