Sr Data Scientist

PayPal•New York, NY

7d•$169,541 - $333,500•Hybrid

About The Position

PayPal, Inc. seeks Sr Data Scientist in New York, NY. This role involves conducting large-scale data mining and modeling to transform raw data into actionable insights that help mitigate risk. The position also focuses on combining data modeling and insights to build a model and strategy that helps improve customer experience. Responsibilities include extracting and analyzing information from large structured and unstructured datasets using data-oriented programming languages such as SQL and Python. Building reports, visualizing and summarizing data findings, and drawing interpretations for optimization of dispute processes using visualization software such as Tableau, Looker are key tasks. The role requires planning, directing, or coordinating activities for data analysis, building reports, and interpretations. Identifying key metrics and driving the building of exec-facing dashboards to track business progress and high-priority initiatives is also part of the job. Ensuring data quality and integrity through regular audits and validation processes is crucial.

Requirements

Master’s degree, or foreign equivalent, in Data Science, Business Analytics, or a closely related field plus three years of experience in the job offered or a related occupation.
Experience in using data findings and interpretations to optimize business processes (2 years).
Experience in extracting insights and making informed decisions using data science knowledge (2 years).
Experience in developing techniques using data analysis to combine business needs with data into actionable insights (2 years).
Experience in creating and implementing the long-term goals and business strategies for teams and organizations (2 years).
Experience in summarizing and visualizing data, and building reports using visualization software such as Tableau (2 years).
Experience in extracting and analyzing information from large structured and unstructured datasets using data-oriented programming languages such as SQL (2 years).
Experience in data modeling and insights to build models and strategy that help improve customer experience (2 years).
Experience in machine learning techniques to build machine learning models (2 years).
Experience in data analytical tools to store, analyze, and manage data (1 year).
Experience in conducting large data mining and modeling to drive insights on data that help mitigate risk (1 year).

Nice To Haves

Employer will accept a Bachelor’s degree, or foreign equivalent, in Data Science, Business Analytics, or a closely related field plus five years of experience in the job offered or a related occupation.

Responsibilities

Conduct large-scale data mining and modeling to transform raw data into actionable insights that help mitigate risk.
Combine data modeling and insights to build a model and strategy that helps improve customer experience.
Extract and analyze information from large structured and unstructured datasets using data-oriented programming languages such as SQL and Python.
Build reports, visualize and summarize data findings, and draw interpretations for optimization of dispute processes using visualization software such as Tableau, Looker.
Plan, direct, or coordinate activities for data analysis, building reports, and interpretations.
Identify key metrics and drive the building of exec-facing dashboards to track the progress of the business and its highest-priority initiatives.
Ensure data quality and integrity through regular audits and validation processes.