Manager, Data Science & Analytics- Trust

eBay; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A global ecommerce leader is seeking a Manager of Data Science and Analytics to enhance marketplace trust. This role involves leading a team of analysts to analyze trends, improve customer experience, and define key performance indicators. Candidates should have experience in data analysis, team leadership, and technical skills in Python and SQL. The ideal candidate will collaborate across various departments to integrate analytical insights into operational strategies, ensuring eBay maintains its commitment to safety and customer trust.

Qualifications

• 5+ years of experience in Quantitative Research, Analytics, or Data Science.
• Experience leading teams of Data Scientists and Analysts.
• Proficient in programming with Python/R and data querying with SQL.

Responsibilities

• Lead and mentor the data science and analytics team.
• Conduct analysis to identify key opportunities.
• Develop KPIs to track user trust experience.
• Collaborate with cross-functional teams to integrate insights.

Skills

Data Analysis Expertise

People Management Experience

Technical Skills (Python/R, SQL)

Communication with Leaders

Marketplace Trust Background

Education

BA/BS degree or Masters/PhD

Job description

At eBay, we're 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. We're 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.

About the team and the role:

The Trust team is committed to maintaining and enhancing eBay as a safe and reliable marketplace for our hundreds of millions of customers worldwide. The team focuses on continuously improving the customer experience to ensure it remains the most secure and trusted global marketplace. Key Trust team initiatives at eBay involve platform communications, seller protections and policy experiences, buyer and seller feedback, the eBay Money Back Guarantee, and seller performance policy.

As a Manager, Data Science and Analytics in the Trust team at eBay, you will work directly with the Trust business unit (and partner teams - Product, Engineering, Design) to identify opportunities, assess impacts, and integrate insights into operational strategies. Your role will involve using predictive analytics to guide marketplace decisions, ensuring that solutions align with organizational goals while adapting to changing market and economic conditions. Additionally, you will develop the overall infrastructure and operational strategy to achieve measurable impact and scalability across the Trust organization's focus areas.

What you will accomplish:

• Team Leader: Lead, mentor, and assist in the development of the data science and analytics team. The role will manage a team of high-impact, motivated data scientists.

• Drive Strategic Insights: Apply strategic, operational, and analytics processes to secure agreement for long-term solutions, influencing leaders across the Trust organization and fostering a culture of achieving goals.

• Analyze & Identify Opportunities: Conduct analysis of key issues to identify significant opportunities for improving customer experience and trust for buyers and sellers on the platform.

• Define & Monitor Metrics: Develop Key Performance Indicators (KPIs) to track the trust experience of users on the platform. Monitor these metrics to understand the underlying causes of metric movements.

• Accountability & Results: Define business objectives and measure progress in achieving results. Commit to goals and lead complex projects focused on enhancing customer experience, and delivering top- and bottom-line results for eBay.

• Cross-Functional Collaboration: Partner with leaders in Trust, Product Management, Engineering, and Design to integrate insights into operational strategies.

What you will bring:

• Educational Background & Experience: BA/BS degree with 5+ years (or Masters/PhD with 3+ years) of relevant experience across at least two areas like Quantitative Research, Analytics, or Data Science

• People Management Experience: Experience leading teams of Data Scientists and Analysts

• Data Analysis Expertise: Skilled in recognizing trends and implications within data to support informed decision-making.

• Technical Skills: Proficiency in programming (Python/R) and data querying (SQL).

• Communication with Leaders: Ability to convey insights drawn from data to senior-level executives.

• Background in marketplace Trust, e-commerce, or technology companies; experience with NLP or LLM/GenAI is a plus. Flexible work arrangements and cross-regional collaboration are part of the role.

Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [e-mail]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.