דרושים Machine Learning Scientist ב-Paypal ב-Ireland, Dublin

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.

Our Benefits:

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.

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

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.

Minimum Qualifications:

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

Preferred Qualification:

• 5+ years of experience in data science or machine learning, with at least 2 years applying AI/ML to operations, risk, or fraud domains.
• Strong proficiency in Python , SQL , and ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow).
• Experience with LLMs , prompt engineering , RAG pipelines , or AI agents is a strong plus.
• Deep understanding of root cause analysis , anomaly detection, or incident forensics.
• Proven ability to translate business problems into data science solutions.
• Familiarity with MLOps tools and concepts (e.g., model serving, observability, retraining).
• Excellent communication skills and a collaborative mindset.
• Bachelor’s or Master’s in Computer Science, Statistics, Engineering, or related field. PhD a plus.

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:

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

Your Day-to-Day

• Lead data science initiatives that improve sanctions screening algorithms and optimize detection sensitivity.

• Design and implement data-driven solutions that balance detection precision and false positive reduction.

• Collaborate with advisory, product, and engineering teams to design frameworks supporting sanctions compliance.

• Translate regulatory requirements into actionable analytical frameworks and technical solutions.

• Modernize screening platforms using big data and ML-driven approaches to increase scalability and speed.

• Conduct advanced analytics and identify workflow inefficiencies, recommending actionable improvements.

• Collaborate with engineering teams to ensure deployment, monitoring, and continuous improvement in production systems.

What You Need to Bring

• Bachelor’s degree with a minimum of six years of experience in sanctions transaction screening, profile screening, or AML, including at least three years in data analytics or data science.

• Strong understanding of economic sanctions programs administered by OFAC, EU, UN, CSSF , etc., and associated adjacency risk.

• Proficiency in SQL, BigQuery, Python, R, Tableau, and Power BI, with strong analytical and problem-solving skills.

• Working knowledge of Hadoop, Hive, Jupyter Notebooks, and data warehouse technologies.

• Excellent written and verbal communication skills, with the ability to translate analytical insights into actionable business recommendations.

• Proven ability to manage multiple projects in a fast-paced, dynamic environment with independence and initiative.

Preferred

• Advanced degree in Data Science, Statistics, or a related field.

• Experience deploying and maintaining ML models in production within compliance or regulated environments.

• Familiarity with explainable AI, model validation, and governance frameworks.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Design and implement holistic and data-driven solutions to support Paypal’s global financial and fraud risk objectives.
• Partner with product and platform engineering teams to build cutting-edge, scalable, and secure ML-based products that enhance global customer experiences.
• Collaborate closely with data engineering and analytics teams to ensure reliable, high-quality training data and robust monitoring infrastructure.
• Oversee the development and maintenance of production-level data pipelines, machine learning algorithms, and advanced statistical models.
• Utilize large-scale datasets to perform exploratory data analysis and feature engineering to drive strategic business decisions.
• Ensure data integrity, fairness, and explainability in deployed machine learning systems through rigorous testing, validation, and bias detection practices.
• Communicate business insights and progress updates effectively to stakeholders and senior leadership through clear visualizations and narratives.
• Lead, mentor, and grow a team of data scientists and ML engineers, fostering innovation in machine learning techniques such as supervised learning, unsupervised learning, reinforcement learning, and deep learning.

• 8+ years of work experience in relevant positions (e.g. data scientist, data analyst, statistician, decision scientist, FP&A, product/process manager, risk management, army intelligence units) domains.
• Strong proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow).
• Experience with LLMs, prompt engineering, RAG pipelines, or AI agents is a strong plus.
• Deep understanding of root cause analysis, anomaly detection, or incident forensics.
• Proven ability to translate business problems into data science solutions.
• Excellent communication skills and a collaborative mindset.
• Quick-thinker, fast learner, wide general knowledge, problem solver
• Bachelor’s or Master’s in Computer Science, Statistics, Engineering, or related field. PhD a plus.

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:

• Define and drive the strategic vision for machine learning initiatives within the team.
• Lead the development and optimization of 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.
• Mentor and guide junior engineers and data scientists.
• Ensure adherence to best practices and industry standards in ML development.

Expected Qualifications:

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

Our Benefits:

Any general requests for consideration of your skills, please