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eBay

Global marketplace for buying and selling

Manager – Data Science & Analytics

Data ScienceConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedHybrid

About the Job

Requirements

  • 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 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.
  • Seven or more years of 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.
  • Good Excel and PowerPoint skills, and proficiency with statistical analysis tools such as Python or R.
  • Knowledge of AI tools and techniques, such as Gemini, GPT, and large language models.
  • Bachelor's degree or equivalent in Mathematics, Computer Science, Statistics, Economics, Business, or another related field.

Responsibilities

  • Execute end-to-end projects autonomously, from problem definition to communicating 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.
  • Translate complex business challenges into a scientific formulation suitable for an AI/Analytics Product solution.
  • Define requirements and collaborate with engineering teams to build and productionalize AI-enabled Analytics Products.

Desired Qualifications

  • Previous experience or profound domain expertise in Performance Marketing and/or Brand Marketing is highly desirable.
  • Experience with Hadoop is a plus.

About the Company

eBay

Global marketplace for buying and selling

eBay operates a global online marketplace where buyers and sellers can trade a wide range of items, from electronics to fashion to collectibles. Sellers list items with details, buyers browse, bid in auctions or buy via Buy It Now, and the platform processes payments and facilitates shipping, earning revenue from listing fees, final-value fees, advertising, and subscriptions. eBay differentiates itself with a combination of auction-style and fixed-price listings, a large international reach, and buyer/seller protections along with seller tools and promotional options. The goal is to enable easy, varied, and secure commerce across many product categories for people and businesses worldwide.

Company size
10,001+
Company stage
IPO
Headquarters
San Jose, CA
Founded
1995

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