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You will be updated with latest job alerts via emailAt eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass authenticity thrives bold ideas are welcome and everyone can bring their unique selves to work every day. Were in this together sustaining the future of our customers our company and our planet.
Join a team of passionate thinkers innovators and dreamers and help us connect people and build communities to create economic opportunity for all.
About the Role and Team:
We are seeking a Product Data Science and Analytics member to lead our efforts in the Regulatory Product domains. Successful candidates should have a strong background in data science & analytics and able to thrive in a fast-paced environment without being hindered by ambiguity or opposing priorities.
What You Will Accomplish:
Set Analytics strategy design and handle analytics roadmaps for Regulatory domain.
Define design and track key metrics to measure product performance and lead product health monitoring.
Design and execute A/B tests causal inference predictive analytics to identify and quantify opportunities and drive product strategy and roadmaps.
Develop dashboards and other self-service data visualization tools.
Partner with cross functional teams (Engineering Product Business etc.) to identify prioritize and take on business challenges & develop best in class analytics solutions.
What You Will Bring:
Bachelors degree in Computer Science Engineering Statistics or other quantitative fields. Masters degree or equivalent experience is a plus.
5 years of professional experience in using data to facilitate business decisions.
Excellent problem-solving skills and the ability to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
Consistent track record of using data to drive significant business impact preferably within a product organization.
Experience in efficient manipulation and analysis of large data sets.
Ability to make decisions adapt to change and deal with ambiguity.
Advanced understanding of big data technologies and tools (e.g. Hadoop Spark SQL Tableau) and experimentation concepts.
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Required Experience:
Senior IC
Full-Time