PayPal Data Scientist Israel, Tel Aviv District, Tel Aviv-Yafo 90743392
Our responsibilities cover research, development, and full product lifecycle ownership of solutions that help data scientists combat fraud at scale.
What you need to know about the role:
Develop automated systems and tools - such as scalable machine learning pipelines and fraud mitigation frameworks - that empower the organization to combat fraud efficiently and at scale
Job Description:
Your way to
As a Data Scientist, you will work in a dynamic environment, applying your data science, algorithmic thinking, and analytical skills to solve complex business challenges. You will design and implement innovative solutions to detect and prevent fraud while alsoopportunities to drive business growth and operational efficiency. Partnering closely with world-class professionals across the organization, you will uncover actionable insights that directly influence strategic decisions and
Your day-to-day work shall involve:
nalyze complex fraud-related problems andutilizedata science and algorithmic thinking touncover
Drive end-to-endprojectsfrom ideation to implementation,while balancing automation goals with
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
upportstrategy discussionsbyprovidingactionable insights derived from exploratory data analysis,reportingand data-driven storytelling
What do 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 aMaster’sdegree 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, ClassificationandTime series forecasting
Knowledge of data structures and algorithmsasapplied to large-scale data mining
in Python for data analysis and developing algorithmic solutions
Experience working with large datasets, querying (e.g., SQL), and data manipulation
Our Benefits:
Any general requests for consideration of your skills, please
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