Hiring.Camp

Sr. Manager, Search Science

Ebay

·

Yesterday

Location
Toronto, Canada
Workplace
Onsite
Type
Full-time
Seniority
Manager
Source
Workday

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.

At eBay, we are building the most personalized global marketplace, powered by eBay Memory, a system that continuously learns buyer and seller preferences across surfaces. Buyers will feel “understood” and sellers will reach the right audience effortlessly.

We are seeking a Sr. Manager, Search Science to lead one of the most critical components in eBay Search - Ranking, Relevance & Retrieval. In this role, you will focus on optimizing eBay’s personalized and contextualized search experience, driving meaningful connections between buyers and sellers. You will have the outstanding opportunity to develop the eBay Memory & Search roadmap through your insights, experimentation, and thought leadership. Your work will directly influence how millions of people discover and interact with items on eBay. You will guide and support a team of data scientists as a people and project leader. You will provide technical mentorship, set clear priorities, and ensure high execution and delivery standards.

You will be responsible for developing team capabilities, managing end-to-end projects, and driving excellence in both outcomes and collaboration.

With a vision to drive groundbreaking change in customer experience and boost business growth, we analyze the largest e-Commerce datasets. We apply outstanding analytic and big data techniques to extract impactful insights. We work closely with product and engineering teams to identify and resolve opportunities that support the product roadmaps.

Responsibilities:

  • Lead and mentor a collective of data scientists, offering technical mentorship, setting priorities, and ensuring high-quality execution and delivery.

  • Carry out, assess, and explore in detail A/B tests and deliver useful advice on refining the search features.

  • Perform statistical analysis and modeling of customer’s behavioral data to find opportunities to build new search features solving for key difficulties in the search user journey.

  • Identify new growth opportunities and provide actionable recommendations by bringing to bear insights across behavioral data, customer research, and data science.

  • Decode and validate web tracking to analyze user behaviors around new features.

  • Develop metrics to measure product success and guide product roadmap.

  • Drive self-serve for commonly used metrics by building dashboards and onboarding metrics to the Experimentation Platform.

To thrive in this position:

  • Master’s degree in Statistics, Applied Econometrics, Math, Physics, Computer Science, Economics, Engineering, or other related core sciences or equivalent.

  • 6+ years of relevant professional experience.

  • Experience with site experimentation (A/B testing).

  • Demonstrated success in people leadership or managing complex projects from start to finish. Able to stay hands-on in technical execution and daily details while working at a strategic level.

  • Balance critical thinking and hands-on analyses using tools & packages such as SQL, R, Python, Tableau, etc.

  • Super strong technical skills to turn big data in Hadoop into practical insights.

  • Ability to think about the big picture and connect the dots to evaluate how the insights impact eBay’s ecosystem.

  • Proactive collaboration and effective communication are needed.

  • Flexible and capable of working across multiple time zones.

Additionally, the following background and experience is preferred:

  • Prior experience in Search and understanding of how a search engine works.

  • Consistent track record of turning insights into product growth opportunities in prior roles with growing scope and responsibilities.

  • Ability to present complex analyses and insights effectively in simple terms.

  • Good experience with both descriptive and inferential statistics.

  • Experience in a leading technology company.

  • Background in e-commerce product experience.

  • Experience with Natural Language Processing or LLM/GenAI is a plus.

Additional Details

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

C$141,600 - C$189,000

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including RRSP eligibility, various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

This job posting relates to an existing vacancy within 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, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. 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.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center and AI Hiring Guidelines.

Skills

PythonSQLHadoopData ScienceTableauR

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