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Sr Data Scientist at PayPal

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

04 Apr, 26

Salary

0.0

Posted On

04 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Fraud Detection, ETL Pipelines, Splunk, SQL, BigQuery, Python, Data Quality, Mentoring, Collaboration, Stakeholder Engagement, Data Integrity, Operational Efficiency, Business Growth, Strategic Planning, Governance

Industry

Software Development

Description

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. Design, develop, and optimize fraud detections to proactively identify internal policy violations. Build robust ETL pipelines using Splunk, SQL (BigQuery), and Python to ingest data from internal and external sources. Own program roadmap planning, audits, and issue resolution in collaboration with stakeholders. Present strategic updates to senior leadership. Partner with senior leadership to identify data-driven opportunities for operational efficiency and business growth. Communicate effectively with technology and operational teams and support the development and adoption of methodologies. Support the buildout of comprehensive infrastructure to enable monitoring operations. 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. The candidate will lead the development of new fraud detections, tune existing detections, and support ongoing investigations. They will also contribute to governance efforts and co-lead the program in coordination with various stakeholders. Responsibilities include quarterly planning, bi-weekly stakeholder meetings, and driving strategic initiatives.

Responsibilities

Lead the development and implementation of advanced data science models and design fraud detection systems. Collaborate with stakeholders to ensure data quality and drive strategic initiatives.