Ebay Manager Data Science Analytics 

India, Karnataka, Bengaluru 

143318568

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:

• Intellectual curiosity, passion for problem-solving, and comfort with ambiguity.

• A passion for understanding and serving the unique community of eBay.

• Sound business judgment and quantitative analytic ability.

• Strong communication skills and experience presenting complex quantitative analysis into action-oriented recommendations.

• Understand a variety of machine-learning techniques (regression, clustering, decision tree learning, etc.) and their real-world advantages/drawbacks.

• Effective team player and works well within a team and contributes effectively to the success of those interactions regularly.

• Prior experience or deep knowledge of Performance Marketing and/or Brand Marketing will be highly preferred.

Desired Qualifications:

• BA/BS in Mathematics, CS, Statistics, Economics, Business, or other related fields.

• 5+ 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 utilizing 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.