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As the Senior/Staff Data Scientist, you will play a critical role in continuously improving the Trust organization’s execution framework using processes, systems, and data. You will partner with Trust domain leaders; and, Product Management, Analytics, Data Science, Engineering and Design to identify areas of opportunity, size impacts and drive insights into operational plans. You will use predictive analytics to inform marketplace level decisions and ensure solutions meet our stated goals and objectives while accounting for changing market and economic conditions. You will create the overarching infrastructure and operational strategy to drive measurable impact and scale across the Trust organization’s areas of focus. Lastly, you will ensure that the needs of our international teams are well represented.
What You’ll Do:Drive Strategic Insights:Apply strategic, operational and analytics standard processes to secure agreement from multiple partners for long-term solutions, and influence leaders across the Trust organization; building culture, establishing standards, and achieving goals.
Define & Monitor Metrics:Build and develop KPIs to track the trust experience of users on the platform. You will be responsible for monitoring the metrics and understanding the root causes behind the metric’s movement.
Is a strategic thought leader that understands the importance of analytics, design, and research; and how they all fit into building new processes and deploying new technologies
Has strong analytical/data science skills to dive into data and identify root causes
Builds models (analytics & machine learning) to segment users on the platform
Applies statistical, machine learning & deep learning techniques to build solutions to solve complex trust problems
Demonstrates data effectively
Quickly and proactively resolves issues
Takes ownership and delivers results
Inspires a hard-working team, delivering results at eBay’s scale
Sets aggressive personal and team goals
Communicates clearly, effectively, and proactively with exceptional listening, written and verbal communication skills
BA/BS degree, with 8+ years of relevant experience within two or more functional areas (e.g., Quantitative Research, Analytics, Data Science)
Deep data analysis expertise with the ability to find the trends and implications within data to inform sound decisions
Proven ability to design analytical solutions to tackle complex business problems; and to partner with cross-functional peers to tailor those solutions for the greatest possible impact
Deep understanding of ML domains, algorithms and best practices
Strong programming (Python/R) and data engineering skills
Creative problem-solving skills
Relentless execution, resourcefulness, and a track record of delivering results in challenging situations
Experience acting as the voice of the customer and channeling many points of view, synthesizing them to drive alignment even in times of friction or disagreement
Experience communicating insights through data with senior-level executives
Proven experience owning the delivery of large-scale programs (multi $B), experiences, and products from roadmapping to delivery, as well as managing elements related to full-funnel and end-to-end user journeys
Strong customer and stakeholder empathy
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