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- Tasks: Lead analytics strategy for C2C Search, improving seller success and personalising search.
- Company: Join eBay, a global leader in ecommerce with an inclusive culture.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and community building.
- Why this job: Make a real impact on how millions buy and sell online.
- Qualifications: Advanced degree in a quantitative field and strong programming skills in SQL and Python.
The predicted salary is between 70000 - 90000 £ per year.
This job is with eBay, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. 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 Consumer-to-Consumer (C2C) team focuses on creating a simple, safe, and engaging selling experience for eBay sellers, supporting how they list, ship, get paid, and grow their businesses. Within this space, the Analytics team plays a central role in shaping product and business strategy, guiding decisions that directly influence the roadmap and overall marketplace performance. As a Data Science Manager, you will lead analytics strategy for C2C Search, with a focus on improving and personalizing search and increasing sales velocity for sellers. This role combines leadership, hands-on technical work, and cross-functional collaboration. You will partner with product, engineering, and business teams to deliver scalable data solutions, advance experimentation practices, and develop AI-enabled tools that improve decision-making and seller outcomes.
What you will accomplish:
- Lead C2C Search product analytics and experimentation strategy to improve speed of sale and seller success.
- Define and implement consistent metrics, experimentation frameworks, and measurement standards to support data-driven decision-making.
- Drive AI-focused initiatives by prototyping and delivering data products and tools that enhance search performance and automate analytical workflows.
- Establish high standards for data quality, instrumentation, and metric definitions, aligning data architecture and semantic layers across teams.
- Own business performance tracking through domain scorecards, leading regular reviews and translating insights into clear recommendations for leadership.
- Partner with product, engineering, and business stakeholders to prioritize initiatives, remove bottlenecks, and deliver impactful outcomes.
- Develop scalable processes and solutions that improve the speed, quality, and effectiveness of analytics across the organization.
What you will bring:
- Advanced degree (or equivalent experience) in a quantitative field such as Statistics, Economics, or Computer Science, with a strong track record in product analytics at scale.
- Deep expertise in experimentation, econometrics, causal inference, and statistical modeling, with the ability to evaluate methodologies and ensure analytical rigor.
- Strong programming skills in SQL and Python, with experience working on production-scale datasets.
- Experience using AI tools and frameworks (e.g., coding assistants or agent-based tools) to develop, evaluate, and prototype analytical solutions.
- Ability to combine technical execution with strategic thinking, including hands-on prototyping, validating approaches, and solving complex problems.
- Strong business and product acumen, with the ability to translate data into actionable insights and measurable outcomes.
- Experience collaborating across product, engineering, and data teams, with the ability to align stakeholders and drive execution in complex environments.
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. 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.
Data Science Manager - C2C Search employer: eBay
Contact Detail:
eBay Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager - C2C Search
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those at eBay. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for the interview by diving deep into eBay's culture and values. Show them you're not just about the numbers; you get their mission and want to be part of it!
✨Tip Number 3
Practice your storytelling skills. Be ready to share how your past experiences align with the role of Data Science Manager. Make it relatable and engaging!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Data Science Manager - C2C Search
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Science Manager role. Highlight your experience in product analytics, experimentation, and AI tools, as these are key to what we're looking for at eBay.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your programming expertise in SQL and Python, as well as your ability to drive data-driven decision-making.
Be Authentic: At eBay, we value authenticity. Let your personality shine through in your application. Share your passion for data science and how you can contribute to creating a better selling experience for our users.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people and helps us keep track of all applicants efficiently. Plus, it’s super easy!
How to prepare for a job interview at eBay
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of statistics, causal inference, and statistical modelling. Be ready to discuss your experience with SQL and Python, especially how you've used them in real-world scenarios. eBay is looking for someone who can combine technical skills with strategic thinking.
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll need to demonstrate your ability to lead teams and projects. Prepare examples of how you've successfully managed analytics strategies or led cross-functional collaborations in the past. Highlight your experience in driving AI-focused initiatives and improving decision-making processes.
✨Understand eBay's Vision
Familiarise yourself with eBay's mission and values, especially their commitment to inclusivity and innovation. Be ready to discuss how your personal values align with theirs and how you can contribute to their goal of creating economic opportunities for all. This shows you're not just a fit for the role, but also for the company culture.
✨Prepare for Technical Questions
Expect to face technical questions that assess your analytical rigor and problem-solving abilities. Practice explaining your thought process when tackling complex data problems, and be prepared to discuss specific methodologies you've used in your previous roles. This will help you stand out as a candidate who can deliver impactful outcomes.