
Data Scientist, Shopping Product
Product Analytics and Data Science, Shopping, Honey PayPal is already a trusted payment partner for millions of Consumers and Merchants around the globe, but we also have a unique opportunity to help them throughout the online shopping journey. Lead the analytics function on Honey features that provide unique savings opportunities to consumers when they shop online Become a domain expert in your product areas and conduct impactful data analysis to improve customer experiences and inform product development. Work cross-functionally with product, engineering, and analytics support teams to build world-class products and design hypothesis-driven experiments; make clear, coherent and holistic recommendations based on test results. Improve product experiences for Honey customers using data science and analysis techniques. Leverage the Objective & Key Results (OKR) framework to identify product metrics and monitor product performance through dashboards and ad hoc analysis.
3+ years of relevant work experience in analyzing large, multi-dimensional data sets and synthesizing data insights i
Experience with visualization tools such as Periscope or Tableau, and web analytics tools
Experience/knowledge of employing statistical, data mining and machine learning algorithms
Sql
Python
Google Analytics
Data Analysis
R
Adobe Omniture
Time Management Skills
MS Excel skills
Verbal communication
Driven and self-motivated
written communication
Problem-Solving
Detail oriented and highly organized
Multi tasker
Flexible Approach
According to JobzMall, the average salary range for a Data Scientist, Shopping Product in 990 W 8th St, Los Angeles, CA 90017, USA is between $92,000 and $119,000. Salaries vary depending on experience, education, skills, and other factors.
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