Manager, Data Science & Analytics

Job Summary

At eBay, were 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. 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.

Responsibilities

We are seeking a Data Scientist to lead our efforts in optimizing Performance Marketing business through advanced analytics and data science techniques. The ideal candidate will have a strong background in data science, analytics, and has exposure to Paid Marketing, and will be responsible for driving experimentation, budget optimizations, defining KPIs as well as unlocking new growth opportunities.

• Execute end-to-end projects autonomously, from problem definition to the communication of actionable recommendations.
• Analyze eBay s comprehensive datasets, deriving insights to diagnose root causes of trends and enhance the user experience.
• Construct machine learning models for predicting user behaviors and inferring marketing performance, supporting business decisions with reliable outputs.
• Quantify and optimize the performance of marketing initiatives based on data-driven insights, identifying key drivers and new opportunities by focusing on high-impact metrics. Conduct deep-dive analyses into campaign performance to determine efficacy and underlying causal factors.
• Mine data to optimize marketing campaigns, revenue growth, and the customer experience, including customer segmentation analysis for audience understanding.
• Formulate strategies for channel optimization and content development.
• Design, develop, and implement experimentation frameworks, such as A/B testing and uplift modeling, to rigorously measure marketing effectiveness.
• Develop and implement solutions for Marketing Attribution (MTA).
• Provide data infrastructure support, including the design of self-service tools, dashboards, and related assets.
• Communicate business performance metrics to stakeholders clearly, concisely, and insightfully.
• Develop, refine, and systematize reporting to ensure clarity and accuracy. Streamline existing processes and implement opportunities for automation and efficiency gains, leading the automation of recurring tasks.

The role involves translating complex business challenges into a scientific formulation suitable for an AI/Analytics Product solution. This individual will define requirements and collaborate with engineering teams to build and productionalize AI-enabled Analytics Products.

Job Skills Required

• Demonstrated intellectual curiosity, a strong passion for complex problem-solving, and the ability to thrive in ambiguous situations.
• A profound dedication to understanding and serving the distinct community of eBay.
• Possesses sound business sense and robust quantitative analytical capabilities.
• Exhibits strong communication proficiencies and proven experience translating complex quantitative analysis into actionable recommendations.
• Comprehensive understanding of various machine-learning methodologies (including, but not limited to, regression, clustering, and decision tree learning) and their practical advantages and limitations.
• Functions as an effective team contributor, collaborating seamlessly and consistently promoting successful team interactions.
• Previous experience or profound domain expertise in Performance Marketing and/or Brand Marketing is highly desirable.

Desired Qualifications

• Bachelors or equivalent in Mathematics, CS, Statistics, Economics, Business, or other related fields.
• 7+ years hands-on work experience in data analysis, with a focus on onsite web analytics, A/B testing, machine learning and report automation.
• Skilled in database query tools using SQL, and Hadoop experience is a plus.
• Good Excel and PowerPoint skills, proficiency with statistical analysis tools such as Python or R.
• Knowledge of AI tools and techniques, such as Gemini, GPT, LLMs etc.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.