Manager, Data Science & Analytics

At eBay, we're more than a global ecommerce leader — we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're 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. We're 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.

Responsibilities

• Analyze eBay's large and rich datasets, drive insights from data to diagnose the root cause behind trends and ultimately improve our user experience.
• Build machine-learning models to predict user behaviors and infer marketing performance, support business decisions through trusted and well-defined model results.
• Measure and optimize ongoing performance for marketing activities based on data-driven insights, understand key drivers and identify new marketing opportunities by focusing on bankable metrics. Deep-dive into campaign performance and provide insights into what is working and why
• Mine data to optimize marketing campaigns, revenue growth, and customer experiences. Perform customer segmentation to understand target audiences better.
• Develop strategies for channel optimization and content strategy.
• Design, develop, and execute experimentation frameworks, including A / B testing and uplift modeling, to measure marketing effectiveness.
• Develop and implement solutions for Marketing Mix Modeling (MMM) and Marketing Attribution (MTA).
• Provide data support for business operation, design self-service tools, dashboards etc.
• Communicate business performance in a clear and insightful way to the business.
• Develop, improve and systemize crisp & accurate reporting. Streamline processes and identify / execute on automation and time-saving opportunities. Leads automation of recurring tasks.
• Translates business problems into a scientific formulation for an AI / Analytics Product solution. Defines requirements and collaborates with engineers to build and productionize AI enabled Analytics Products.

Job Skills Required

Desired Qualifications

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Skills Required

Data Analysis, Machine Learning, Hadoop, Report Automation, Sql, Python