Staff Data Scientist at PayPal

Dublin, Leinster, Ireland -

Full Time

Start Date

Immediate

Expiry Date

07 Apr, 26

Salary

0.0

Posted On

07 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Data Analysis, Risk Management, Project Management, Data Modeling, Mentoring, Collaboration, Communication, Fraud Risk Management, Credit Risk Management, Data Analytics, Stakeholder Management, Problem Solving, Regulatory Knowledge, Team Leadership, Continuous Learning

Industry

Software Development

Description

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. Lead a team of three to become the center of excellence in European SMB acquisition. Develop a framework for different risks and execute strategies to optimize the trade-off between risk and rewards. Work collaboratively with multiple cross functional teams to execute on a multi-year roadmap that you will develop and get buy in agreements from key stakeholders. Develop risk professionals and team to become a top performer in both thought leadership and execution. Strong communicator and educator to demystify risk management and bring transparency across business. Be the voice of risk management and help solve complex problems within defined risk box. 5+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. 7 years of experience in financial technology, banking, 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 (i.e. merchants). Strong knowledge in data analytics to extract, analyze and transform data into risk strategy recommendations for profitable business growth. Have experience managing consumer or Small Medium Business (SMB) acquisition fraud and credit risk in the European markets. Experience in multiple countries is a plus. 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. Proven track record in driving positive outcomes between risk management and business leaders. Excellent project management skills, 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 strong analytical/problem-solving skills Strong ability to inspire/foster an inclusive/diverse culture. Demonstrated ability to build/maintain relationships with key stakeholders, including strengths in influencing, conflict management, and negotiation. Strong communication skills in explaining complex matters in a simple and clear manner. Experience in partnering with senior business stakeholders, particularly in the context of a rapidly evolving environment.

Responsibilities

Lead and manage data science projects while ensuring alignment with business goals. Collaborate with cross-functional teams to provide actionable insights and maintain data quality.