Snr Data Scientist

2 weeks ago

Dublin, Dublin City, Ireland Paypal Full time

Social network you want to login/join with:
Snr Data Scientist - Fraud Automation Team, Dublin
Client:
PayPal
Location:
Dublin, Ireland
Job Category:
Other
EU work permit required:
Yes
Job Reference:
44c9ad8eb082
Job Views:
3
Posted:
24.07.2025
Expiry Date:
07.09.2025
Job Description:
Description
:
Your way to impact:
As a Data Scientist, you will work in a dynamic environment, applying your data science expertise, algorithmic thinking, and analytical skills to solve complex business challenges.
You will design and implement innovative solutions to detect and prevent fraud while also identifying opportunities to drive business growth and operational efficiency.
Partnering closely with professionals across the organization, you will uncover actionable insights that influence strategic decisions and impact the company's bottom line.
Your day-to-day work shall involve:
Analyze complex fraud-related problems and utilize data science and algorithmic thinking to uncover impactful opportunities and develop data-driven solutions.
Drive end-to-end projects from ideation to implementation, balancing automation goals with business objectives.
Collaborate with cross-functional teams (engineering, analytics, product, operations) to translate business needs into scalable data science tools.
Engage stakeholders throughout project lifecycles by understanding business needs and aligning on priorities, impact, and implementation.
Support strategy discussions by providing actionable insights derived from exploratory data analysis, reporting, and data-driven storytelling.
What you need to bring:
Bachelor's degree in a relevant quantitative field (e.g., Industrial Engineering, Information Systems Engineering, Statistics) with 3+ years of applied data science/analytics experience, or a Master's degree with 2+ years of experience.
Strong analytical and problem-solving skills with a data-driven mindset.
Strong understanding of optimization techniques and decision-making frameworks.
Experience in predictive modelling techniques such as Regression, Classification, and Time series forecasting.
Practical knowledge of data structures and algorithms as applied to large-scale data mining.
Proficiency in Python for data analysis and developing algorithmic solutions.
Experience working with large datasets, querying (e.g., SQL), and data manipulation.
Preferred Qualification:
Subsidiary:
PayPal
Travel Percent:
20
PayPal offers a balanced hybrid work model with 3 days in the office and 2 days flexible between office or home.
Our Benefits:
We offer benefits to support your financial, physical, and mental health, including flexible work, employee shares options, health and life insurance, and more.
Visit our website to learn more.
Who We Are:
Learn about our culture and community on our website.
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity and reasonable accommodations for individuals with disabilities.
If you face accessibility barriers, contact us.
Belonging at PayPal:
We strive to create an inclusive environment where everyone feels accepted, valued, and has a sense of purpose.
Our diverse workforce reflects the communities we serve.
Apply confidently, knowing we value your unique contributions.
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