Director Data Science jobs at Paypal in United States, Scottsdale

Essential Responsibilities:

• Recognized as a security expert, independently resolving the most complex security challenges and providing strategic direction on problem resolution across the security domain.
• Define methods and procedures for new or special assignments, collaborating with cross-functional teams to drive security initiatives that align with business needs and objectives.
• Lead complex, high-impact security projects of diverse scope, applying an in-depth understanding of business trends and security challenges to develop innovative solutions.
• Possess a keen awareness of the broader impact of decisions, with initiatives often leading to enterprise-wide improvements that enhance security practices and operational efficiency.
• Lead a security engineering team; set clear priorities and define actionable plans, ensuring alignment with organizational goals.
• Guide team members through complex challenges, fostering their growth and development while maintaining a focus on high-impact results.

Expected Qualifications:

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

Key Responsibilities

• Lead PayPal’s Data Protection Strategy across GCP, aligning policies, standards, and controls with global security, privacy, and compliance goals.
• Design and deliver protection solutions at scale data delivering protection solutions across cloud, on-prem, and SaaS ecosystems using industry-leading technologies for data discovery, classification, encryption, and policy enforcement, integrating DLP and governance tools to ensure consistent protection across platforms.
• Drive data discovery, tagging, and classification initiatives to ensure consistent sensitivity labeling and access enforcement.
• Establish and enhance data protection processes and governance frameworks , including policy lifecycle management, exception handling, and continuous control improvement.
• Promote data minimization through profiling, reduction, and anonymization of sensitive datasets.
• Partner cross-functionally with Privacy, Legal, Compliance, and Engineering to embed protection-by-design principles in PayPal products and platforms.
• Lead and mentor a team of cloud security and data protection professionals, fostering collaboration, accountability, and innovation.
• Drive process standardization and automation for data protection operations, from classification workflows to incident response, remediation, and audit readiness.
• Measure and report effectiveness of data protection controls and programs through KPIs, maturity assessments, and continuous improvement cycles.
• Collaborate with engineering and operations teams to embed data protection requirements into CI/CD pipelines, service delivery models, and platform change processes.

Qualifications

• 8+ years of experience in Information Security, including 5+ years in Cloud or Data Protection.
• Deep, hands-on experience with security tools , including a variety of DLP tools, Data-at-Rest scanning, data tagging, and Data Catalog .
• Proven track record of implementing data protection or DLP at enterprise scale.
• Experience with DevSecOps andInfrastructure-as-Code(Terraform, GitHub Actions).
• Strong leadership, communication, and stakeholder management skills.

Additional Skills

• Strategic thinker with a hands-on technical mindset.
• Strong leadership and communication skills for cross-functional alignment.
• Demonstrated ability to deliver complex initiatives in a fast-paced, global environment.
• Experience implementing
  Data Protection as a Service

Our Benefits:

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.

Minimum Qualifications:

• Minimum of 15 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Minimum of 3 years management experience

Preferred Qualification:

• Proven track record of effectively leading, globally distributed teams
• Bachelor’s degree in a quantitative discipline; advanced degree preferred.
• In-depth knowledge of Identity & authentication risks, technologies, regulations.
• Demonstrated success in driving innovative risk management solutions using advanced analytics and technology.
• Ability to influence and engage with C-level executives, articulating complex strategies and their business implications.
• Proven success in working cross-functionally with analytics, engineering, product, and compliance teams to deliver impactful solutions.
• Expertise in leveraging data and analytics to inform risk strategies and optimize outcomes.
• Experience managing programs across multiple geographies, accounting for regional nuances and regulatory variations.
• Skilled at navigating ambiguity, adapting to rapid changes, and prioritizing evolving requirements

Our Benefits:

Any general requests for consideration of your skills, please

Your day to day will include:

• Engineernew linking featuresfrom raw data for use in FSI’s fraud linking framework.

• Hunt for new data andintelligence thatcan be used to link fraudulentaccounts across acomplex data platform.

• Maintain metricstracking featureperformance.

• Apply statisticalmethods for combining multiple data points to identify fraud patterns.

• Continuouslyimprove the speed,reliability, andscalabilityof FSI tools.

• Leverage partner

• Identify opportunities to extend FSI linking solutions with internal partners’ technology stacks for holistic fraud prevention.

What do you need to bring:

• Skilled in performing exploratory data analysis to identify patterns, trends, and anomalies.

• Proficient incleaning and preprocessing large datasets to ensure accuracy and consistency.

• StrongSQL experience tocreate, maintain, and optimize complex queries and database structures.

• Advanced proficiencyin Python. Experiencewith libraries and tools for string processing and pattern recognition.

• Understanding of financially motivated cybercrime trends and typologies.

• Team player, energetic personality, curious, able to work efficiently in a fast paced, changing environment.

· Experience designing data models and building scalable data pipelines using tools like Airflow, dbt, or Spark.

· Proficient in writing clean, production-grade code and translating prototypes into reusable software components.

· Comfortable with APIs, system integrations, and deploying features into production in collaboration with engineers and analysts.

· Familiar with cloud-based data architectures in GCP, distributed systems, and container orchestration tools like Docker or Kubernetes.

· Skilled in version control using Git, with experience in CI/CD workflows and ensuring data service reliability through monitoring and observability tools.

Our Benefits:

Any general requests for consideration of your skills, please

Job Description:

As a leader of our Cyber Data Science and Engineering team, This role will require a balance of strategic thinking, technical skill, mentorship ability, and business acumen specifically tailored to addressing and mitigating cyber threats at scale.

Advanced Threat Detection:

Oversee the design, development, and implementation of machine learning models for detecting and responding to cyber threats across various data sources, including network traffic, user behavior, endpoint activity, and product web sessions.

Threat Intelligence Integration:

Oversee the analysis and application of threat intelligence data to improve detection capabilities, ensuring that models are trained on the latest threat actor behaviors and techniques.

Automated Response Solutions:

Oversee the development automated response systems that leverage machine learning outputs to initiate immediate actions against detected threats, reducing response times and mitigating risks.

Data Collection, Analysis and Visualization:

Perform in-depth data analysis to uncover insights and trends related to cybersecurity incidents, leveraging statistical methods and visualization tools.

Contribute to the development of best practices and documentation related to machine learning and data science applications in cybersecurity.

Architecture and Strategic Planning:

Drive architectural planning and deployment of data lake technology to facilitate the development of Cyber Data Science and Engineering products.

What do you need to bring:

• Bachelor’s or master’s degree in computer science, Data Science, Cybersecurity, or a related field with 8+ years of experience with at least 3 years of experience leading engineering teams.

• 3+ years of experience in data science and machine learning, preferably within a cybersecurity context.

• Proficiency in programming languages such as Python or R, and experience with machine learning frameworks (e.g., MLlib, TensorFlow, PyTorch, Scikit-learn).

• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).

• Experience designing new and working with existing deep learning models.

• Experience with NLP models like embedding models and transformer models.

• Experience working with time series data.

• Experience working with supervised, unsupervised, and semi-supervised machine learning settings.

• Experience working with data lake technology like Big Query and Delta Lake.

• Experience with data architecture, cataloging, and governance.

Leadership Skills:

• Experience correlating business strategic direction to a technical strategy to inform a team’s technical priorities.

• Experience setting strategic direction for analytical project in the cyber domain.

• Experience leading a multinational and multi-time zone engineering team.

• Experience designing, implementing, integrating, and testing cross team software initiatives.

• Experience architecting systems and software solutions in support of business priorities.

• Familiarity with cybersecurity concepts, threat detection methodologies, and threat intelligence frameworks.

• Strong analytical skills with the ability to translate complex data into actionable insights.

• Excellent communication skills, capable of conveying technical concepts to non-technical audiences.

• Excellent written and verbal technical communication skills, capability of communicating detailed machine learning concepts to data scientists and development engineers.

Our Benefits:

Any general requests for consideration of your skills, please

Job Description:

This position requires a proven record of risk management (online preferred), business acumen, creative thinking, people management, strong communication and collaboration skills and advanced research and analytical skills.

• Lead, grow and develop a team to deliver best in class reporting, analytics, and insights
• Develop, implement and evolve the GFCCP reporting suite and data infrastructure
• Define key success metrics for assessing and monitoring effectiveness of program strategies as well as drive initiative analytics and key business decision-making
• Proactively identify opportunities to improve PayPal’s reporting capabilities and systems
• Translate complex quantitative information into presentations that are easily understood by senior management on a regular basis. Communicate and interact with partners and executives, verbally and written, in a professional manner;
• Excel in a dynamic and fast-paced environment; manage changes, set and follow priorities and execute on vision and strategy

Our Benefits:

Any general requests for consideration of your skills, please

• Dive into extensive datasets, defining and tracking essential KPIs to drive actionable insights for informed business decisions.
• Develop controls and monitoring dashboards to ensure performance against business goal, regulatory requirements, and business priorities.
• Architect and oversee the entire data infrastructure lifecycle, ensuring seamless automation of processes from end to end, ensuring efficiency and accuracy.
• Lead or participate in ad-hoc projects and initiatives related to risk management, operations optimization, leveraging data-driven approaches to address specific business challenges or opportunities.
• Work on assignments of intermediate complexity with minimum supervision and constantly seek improvement within defined tasks.
• Good understanding of general business trends and directions to be able to put own work in a broad business context.
• Drive effective communication with collaborators to achieve the optimal level of decisioning and business results.
• Ability to proactively derive actionable insights from developed solutions to enhance and influence operational decision making.

• 8+ years of experience in analytics and data science with Master’s Degree required in same.
• High proficiency in Big Query, SQL, Python and Excel.
• Expertise in building interactive dashboards using visualization tools like Tableau & PowerBi.
• Highly Proficient in statistics; exhibit critical and analytical thinking, with a focus on problem-solving and attention to detail.

• Experience in leading and delivering end-to-end Business Intelligence Solutions (requirement gathering, analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions).
• Industry experience in payments, e-commerce, or financial services is an advantage.
• Highly motivated, result-oriented self-starter who enjoys working in a fast-paced environment. Proven ability to function well independently as well as in a team.
• Strong interpersonal skills including ability to present insights and recommendations persuasively. Skill and confidence in dealing with people at all levels of the organization are essential
• Requires an excellent understanding of standard business practices related to Compliance processes and systems.
• Clear, strategic thinker with vision, with the ability to execute on priorities
• Skilled in translating technical processes for a business audience

Our Benefits:

Any general requests for consideration of your skills, please

• Dive into extensive datasets, defining and tracking essential KPIs to drive actionable insights for informed business decisions.
• Develop controls and monitoring dashboards to ensure performance against business goal, regulatory requirements, and business priorities.
• Architect and oversee the entire data infrastructure lifecycle, ensuring seamless automation of processes from end to end, ensuring efficiency and accuracy.
• Lead or participate in ad-hoc projects and initiatives related to risk management, operations optimization, leveraging data-driven approaches to address specific business challenges or opportunities.
• Work on assignments of intermediate complexity with minimum supervision and constantly seek improvement within defined tasks.
• Good understanding of general business trends and directions to be able to put own work in a broad business context.
• Drive effective communication with collaborators to achieve the optimal level of decisioning and business results.
• Ability to proactively derive actionable insights from developed solutions to enhance and influence operational decision making.

• 5+ years of experience in analytics and data science with minimum Bachelors Degree required in same.
• High proficiency in Big Query, SQL, Python and Excel.
• Expertise in building interactive dashboards using visualization tools like Tableau & PowerBi.
• Proficient with basic statistics; exhibit critical and analytical thinking, with a focus on problem-solving and attention to detail.

• Experience in leading and delivering end-to-end Business Intelligence Solutions (requirement gathering, analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions).
• Industry experience in payments, e-commerce, or financial services is an advantage.
• Exceptional communication and collaboration skills to engage with multiple stakeholders and different teams to deliver BI solutions efficiently.
• Highly motivated, result-oriented self-starter who enjoys working in a fast-paced environment. Proven ability to function well independently as well as in a team.

Our Benefits:

Any general requests for consideration of your skills, please