Data Science – Analyst jobs at Ebay in United States, San Jose

Key Responsibilities:

• Risk Insights & Strategy Analytics: Lead deep-dive analytics to uncover emerging risk patterns, quantify business impact, and recommend data-driven mitigation strategies. Deliver regular insights to advise leadership decisions and influence strategic direction.
  

• Automation & Reporting Excellence: Own the development and maintenance of automated dashboards and reporting pipelines that monitor key risk metrics. Ensure data accessibility and usability across partner teams.
  

• BI Ownership & Data Integrity: Drive ownership of business intelligence tools and reporting infrastructure within the risk team. Ensure data integrity, stability, and availability of dashboards and data sources.
  

• Insights Sharing & Executive Enablement: Lead periodic business reviews and risk insight sessions with multi-functional stakeholders and executives, enabling timely decisions through compelling data narratives and visualizations.
  

• Cross-Functional Collaboration:
  

Qualifications:

• Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Data Science, Economics, Computer Science) or equivalent experience.
  

• 5–7 years of experience in analytics, business intelligence, or strategy—preferably within risk, fintech, or e-commerce environments.
  

• Sophisticated proficiency in SQL and Python for data analysis, pipeline development, and prototyping.
  

• Solid experience with BI and visualization tools (e.g., Looker, Tableau, Power BI) to communicate insights optimally.
  

• Demonstrable ability to manage and scale reporting infrastructure while ensuring data quality and uptime.
  

• Experience owning stakeholder-facing reporting and delivering insights to senior leadership.
  

• Good communication and project management skills; able to work independently and prioritize effectively in a fast-paced environment.

• Strong slide development and presentation skills, with a proven ability to convey complex ideas to executive audiences.

The base pay range for this position is expected in the range below:

What you will bring:

Minimum Requirements: Master’s degree, or foreign equivalent, in a quantitative field such as Data Science, Computer Science, Applied Mathematics, Statistics or a related field. Employer will accept a Bachelor’s degree, or foreign equivalent, in a quantitative field such as Data Science, Computer Science, Applied Mathematics, Statistics or a related field plus two years of data science or analytics experience

Special Skill Requirements

Experience in large scale distributed data mining systems like Spark

Hypothesis testing analysis utilizing R or Python

Data visualization based on Tableau or R or Python

Experience in Machine learning and Statistical models

Linux language

Experience in Natural language processing

Salary: $148,699.00-$205,700.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship.

What you will bring:

Minimum Requirements: Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering (any field), Business Analytics or a closely related field plus two years of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering (any field), Business Analytics or a closely related field plus five years of experience in the job offered or a related occupation.

Special Skill Requirements:

1. Business Performance Analytics - conceptual and analytical problem-solving skills (2 years)
2. Marketing Analytics (2 years)
3. Supervised machine Learning – strong predictive analytics experience including setting up synthetic control for incrementality measurement (2 years)
4. Time series forecasting – experience in various methods of time series forecasting such as ARIMA, exponential smoothing and regression (2 years)
5. Python & R programming – experience in developing shiny dashboards and building automated processes in R or Python (2 years)
6. Data mining – Strong analytical skills with the ability to collect, organize, analyze and disseminate information with attention to detail and accuracy (2 years)
7. Deep data analytical expertise - Find the trends and implications within data to inform sound decisions (2 years)
8. Text Mining - Experience in building NLP models to analyze text data (2 years)
9. SQL/Tableau – Experience in Spark SQL and BI tools such as Tableau (2 years) Salary: $211,536.00-262,900.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship.

What you will bring:

Minimum Requirements: Master’s degree, or foreign equivalent, in Data science, Computer Science, Applied Mathematics, Statistics or a related quantitative field.

Special Skill Requirements:

1. Process large-scale datasets using Spark, PySpark, and SQL.
2. A/B testing design and advanced statistical analysis, including hypothesis testing and forecasting.
3. Create interactive dashboards and communicate insights with data visualization tools like Tableau, Matplotlib, or Plotly.
4. Design, train, and deploy machine learning and deep neural networks.
5. Design and fine-tune NLP models (BERT, GPT and T5) for tasks including information extraction, classification and sentiment analysis.
6. Develop and optimize generative AI models and large language models for content generation.
7. Multimodal learning techniques to integrate and analyze text, image, and structured data using advanced embedding models.
8. Design and develop algorithms and software applications using Python or Java.

Salary: $148,699.00-205,700.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship.

What you will accomplish:

• Build close partnership with product managers, business owners and engineering team across the organization to identify and explore opportunities for impactful analytics to drive different strategy pillars on product roadmap

• Possess strong technical skills to turn big data in Teradata and Hadoop into actionable insights and ability to think about the big picture and connect the dots to evaluate how the insights impact eBay’s ecosystem.

• As an Individual contributor, a candidate is encouraged to thrive in a cross-functional environment while working with different analytics/business/product collaborators.

• Strong communication skills and experience distilling and presenting complex analyses into concise and clear recommendations

What you will bring：

• Prefer 5+ years of experience and the minimum of a bachelor’s or higher degree in Statistics, Mathematics, Computer Science, Data Science, Business Administration or Business Analytics.

• Intellectual curiosity, passion for problem-solving, and comfort with ambiguity. Strike a balance between critical thinking and hands-on analytics and data science (SQL, R, Python, Tableau etc.)

• Functional leadership skills and a product analyst while having a data science mentality to problem solving at scale.

• Experience in setting up and analyzing AB tests and measuring product success metrics is a plus

• Enthusiastically and efficiently communicate with partners across the organization and regions.

• Finally, but crucially: A passion for eBay, either existing or nascent. We are an outstanding company and are looking for people who get excited by our captivating marketplace & amazing business opportunities.

The base pay range for this position is expected in the range below:

Responsibilities:

• Scale the capabilities of the Data Science team to drive better business decisions for the Motors and Hard Goods (Refurb, Home & Garden) business, product and cross-functional initiatives.

• Develop globally consistent analytical frameworks and metrics to better understand the customer and business impact of our product teams so that eBay can optimize investments and drive growth.

• Manage product analytics team, perform discovery analytics and drive best practices in experimentation.

• Apply data and behavioral science to solve customer problems.

• Develop outstanding automated self-serve dashboard solutions.

• Provide technical expertise in developing methods for measuring business performance and research the use of sophisticated mathematical, statistical, and experimental tools & techniques

• Articulate requirements and coordinate with data infrastructure teams to increase availability of new internal and external tools and datasets in to unlock new insights.

• Support training, development, recruiting, and inspiration in the decision science team.

• Communicate, present and consult regularly to eBay’s executives & leadership team.

Job requirements:

• Confirmed analytics and data science leader that has built impactful analytical capabilities within a large global company

• 12+ years of experience analyzing large, sophisticated, multifaceted data sets in relational databases and non-relational databases using querying languages and analytics automation tools.

• Strong technical and quantitative background with master’s degree or equivalent experience in computer science, Math, Physics, or Engineering.

• Ability to collaborate with key partners in a highly matrixed environment including regional business teams, product, technology, and finance in order to plan and implement eBay’s analytics roadmap.

• Highly analytical, strategic, and diligent, with a dedication to excellence and a passion for understanding the business implications of analyses.

• Ability to influence and drive execution across organizational lines.

• Experience with data and analytical tools including R and Python.

• Knowledge of statistics (e.g., multivariate statistics, predictive modeling, controlled test design).

• Excellent management, recruiting, mentor, team-building, and organizational skills.

• Ability to identify and take on critical projects, as well as lead multiple projects simultaneously in a dynamic, changing environment.

• Willing to take calculated risks and make decisions with imperfect information.

The pay range for this position at commencement of employment in California, Washington, or New York is expected in the range below.

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What you will bring:

Minimum Requirements: Master’s degree, or foreign equivalent, in Data Science, Systems Science, Statistics, or a closely related field plus Three years of experience in the job offered or a related occupation.

Special Skill Requirements:

1. Analyzing large scale datasets leveraging Python, R, SAS, SQL and Spark SQL to extract insights (3 years)
2. Analyzing large scale linear behavioral stream datasets of customers (3 years)
3. Building effective data pipelines to be leveraged for reporting and/or deep analysis (3 years)
4. Setting up and analyzing A/B testing with deep statistical knowledge of econometric methodologies (3 years)
5. Building statistical causal models (3 years)
6. Building multivariate driver models to performance driver analysis on customer sentiments (3 years)
7. Building predictive models leveraging retail customer data (3 years)

Salary: $180,128.00-234,850.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship.

This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our for more information.