eBay

Company Name: eBay
Job Title: Manager, Data Science & Analytics- Trust
Job Description: **Job title** Manager, Data Science & Analytics – Trust **Role Summary** Lead a high‑impact data science team in the Trust organization to deliver predictive analytics that strengthen buyer and seller trust. Develop metrics, drive operational strategy, and translate insights into decisions that enhance the overall safety and reliability of the marketplace. **Expectations** - Lead, mentor, and grow a team of data scientists and analysts. - Own end‑to‑end analytics projects that deliver measurable business outcomes. - Provide data‑driven guidance to senior leaders and influence strategic direction. - Collaborate closely with Product, Engineering, and Design to embed insights into product and policy initiatives. - Manage infrastructure and operational processes for scalable analytics delivery. **Key Responsibilities** 1. **Team Leadership** – Recruit, coach, and evaluate a team of data scientists, fostering a culture of analytical rigor and continuous improvement. 2. **Strategic Insight Development** – Design and execute quantitative studies to identify opportunities that improve trust for buyers and sellers. 3. **Metric Definition & Monitoring** – Define KPIs for trust experience, build dashboards, and analyze trends to diagnose and address metric changes. 4. **Project Delivery** – Own complex, cross‑functional projects that influence platform decisions, ensuring alignment with business goals and impact measurement. 5. **Cross‑Functional Collaboration** – Partner with product, engineering, and design leaders to embed data‑driven insights into operational strategy and policy design. 6. **Stakeholder Communication** – Translate analytical findings into clear, actionable narratives for senior executives and board‑level stakeholders. **Required Skills** - Advanced analytics and statistical modeling expertise. - Proficiency in Python or R for model development and data manipulation. - Strong SQL skills for data querying and extraction. - Experience building predictive models that influence business decisions. - Excellent communication skills, capable of presenting complex insights to non‑technical audiences. - Leadership of data science or analytics teams. - Domain knowledge of marketplace trust, e‑commerce, or technology sectors. - (Preferred) Experience with NLP, LLM, or GenAI technologies. **Required Education & Certifications** - BA/BS in a quantitative discipline with 5+ years of relevant experience across at least two areas such as quantitative research, analytics, or data science; **or** - Master’s or PhD with 3+ years of relevant experience. - Proven record of leading data science teams. No specific certifications are mandated, but advanced degrees and hands‑on leadership experience are required.

Toronto, Canada

Hybrid

Mid level

23-12-2025

Company Name: eBay
Job Title: Backend & Applied AI/ML Engineer
Job Description: **Job Title:** Backend & Applied AI/ML Engineer **Role Summary:** Design, develop, and maintain scalable backend services while integrating AI/ML models into production. Collaborate with ML engineers, data scientists, and product teams to deliver AI‑enhanced features for a global e‑commerce platform. **Expectations:** - Deliver high‑quality, production‑grade code in Java/Kotlin and Python. - Ensure reliability, scalability, and adherence to architectural standards. - Work effectively with distributed, cross‑functional teams. - Continuously adopt AI‑driven tools and modern engineering practices. **Key Responsibilities:** - Build and support backend microservices and distributed systems. - Write clean, testable, modular code following best practices. - Integrate, deploy, and optimize AI/ML models (e.g., Hugging Face, PyTorch). - Participate in architecture discussions and influence roadmap for AI‑enabled services. - Collaborate with product, data, and other engineering groups to deliver end‑to‑end solutions. - Utilize NoSQL databases, Spark, and Spring Boot where appropriate. **Required Skills:** - 6–8 years software engineering experience, focused on backend systems. - Proficiency in Java or Kotlin and Python. - Strong knowledge of backend architecture, distributed systems, and modular design. - Experience with AI/ML model integration (preferred: Hugging Face, PyTorch). - Familiarity with Spring Boot, NoSQL databases, and Spark. - Ability to learn new technologies quickly and apply AI tools to improve workflows. - Excellent communication and collaboration skills across global teams. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science or a related technical field. - Relevant certifications are optional but may include cloud, AI/ML, or Java/Kotlin credentials.

Toronto, Canada

Hybrid

Mid level

23-12-2025

Company Name: eBay
Job Title: Applied Researcher 2 - Search Ranking
Job Description: Job title: Applied Researcher 2 – Search Ranking Role Summary: Apply machine‑learning research to improve e‑commerce search ranking and online advertising, building models, data pipelines, and experiments that deliver measurable customer value. Expactations: Deliver scientifically valid, impactful solutions; publish research in reputable venues; demonstrate rigorous methodology; present findings at conferences and to cross‑functional stakeholders. Key Responsibilities: - Design, implement, and evaluate ranking, recommendation, classification, and regression models for e‑commerce search and advertising. - Build scalable data pipelines and process large‑scale datasets using Hadoop, Spark, and SQL. - Partner with product, data engineering, and analytics teams to integrate models into production and monitor performance. - Conduct rigorous experiments (A/B, cohort) and statistical analyses to quantify business impact. - Document technical methods, publish papers, and communicate insights across the organization. - Mentor junior researchers and promote best research practices. Required Skills: - Deep knowledge of machine‑learning algorithms relevant to ranking, recommendation, or classification. - Experience with big‑data technologies (Hadoop, Spark, SQL) and programming in Python or R; proficiency in Java/Scala/C++. - Strong statistical analysis and hypothesis‑testing skills; ability to translate results into actionable product improvements. - Proven research record with at least two peer‑reviewed conference or journal publications. Required Education & Certifications: - MS or PhD in Computer Science, Statistics, Mathematics, or equivalent. - MS holders: 1‑3 years industrial experience; PhD holders: 0‑1 year. - Publications: 2+ relevant papers in respected conferences or journals. - Relevant industry experience in classification, regression, recommendation, targeting, ranking, fraud detection, or online advertising.

San jose, United states

Hybrid

Fresher

31-12-2025

Company Name: eBay
Job Title: Data Scientist - Search Analytics
Job Description: **Job title** Data Scientist – Search Analytics **Role summary** Provide data‑driven insights and analysis to shape and improve eBay’s global Search product. Translate large‑scale user behavior and experiment results into actionable recommendations that influence product roadmap and drive measurable business growth. **Expectations** - Deliver clear, evidence‑based insights to product and engineering teams. - Own analysis of A/B tests, success metrics, and feature impact. - Promote data accessibility via dashboards and experimentation tooling. - Communicate findings in concise, stakeholder‑friendly presentations. **Key responsibilities** 1. Lead deep analyses of AB tests and other online experiments to evaluate Search feature performance. 2. Design, implement, and monitor success metrics to quantify impact of new Search initiatives. 3. Collaborate with Product, Engineering, and Analytics to validate user behaviors, decode web‑tracking signals, and convert insights into Search enhancements. 4. Build and maintain self‑serve dashboards and metrics for the experimentation platform, improving data access across the organization. 5. Identify growth opportunities by synthesizing behavioral data, customer research, and data‑science frameworks. **Required skills** - Proficiency in SQL, Python or R, and data‑visualization tools (e.g., Tableau, PowerBI). - Experience designing and analyzing A/B tests in a product‑driven environment. - Strong analytical and statistical problem‑solving abilities. - Clear written and verbal communication, with capacity to explain complex concepts simply. - Ability to work remotely, collaborating across time zones and participating in virtual meetings from 9–12 AM PDT. **Required education & certifications** - Master’s degree or equivalent experience in Statistics, Mathematics, Computer Science, Engineering, Economics, Physics, or related quantitative field. - Minimum of 2 years of professional analytics experience. **Bonus** - Prior exposure to search technologies, e‑commerce platforms, or leading technology companies. - Proven track record of using data insights to drive business outcomes.

Toronto, Canada

Hybrid

Junior

06-01-2026

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