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Job Description:
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Design, develop and implement data-driven strategies and machine learning models for transaction expense reduction, Improving Availability and reduce latency reduction
Create innovative features and data for payment strategies and models, align with stakeholders and implement these capabilities
ommunicate analysis results and complex concepts in a clear and effective manner
MLscientists, product managers and engineers to formulate innovative ideas, and test / implement through advanced data science technique
Lead multiple projects focusing on impact as well as mentor junior members of the data science team
Job Requirements:
Professional industry experience in developing Machine learning models and performing statistical analysis
+yearswith advanced degree in Math, Statistics,or Computer Science
a must
initialideation stage up to delivering ready-to-use solution
High emotional intelligence, a can-do mentality and a creative approach to problem solving.
Proficiency in languages used for querying (e.g.SQL/Hive/Big Query), preprocessingand statistical analysis (e.g.Python), model building using H2O
Strong verbal and written communication skills to express data science concepts and solutions to product managers, data scientists, business partners of varying technical levels, and influence and negotiate to reach alignment on how to execute strategies and improve models.
Knowledge aboutfinancial domain and paymentsis a strong plus
Belonging at PayPal:
Any general requests for consideration of your skills, please
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