Job description

This inclusive employer is 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.

Position Summary

Want to help change the future of retail? Are you looking for a unique and visible role leading Data Science for Trust at eBay?

Fast-paced, dynamic, and proactive, eBay's Trust team is dedicated to making eBay a safe and trusted platform for the millions of buyers and sellers who make up the eBay community as well as continuously improving the level of trust between buyers, sellers, and eBay.

For eBay, nothing is more important than trust. Understanding that no single action can protect us against sophisticated threats in this constantly changing environment, we apply multiple layers of policy and technology-based measures to keep buyers and sellers safe, ensuring their trust in our platform.

Some of the key initiatives that the team is focused on include platform Communications, Seller Protections, Buyer and Seller Feedback, the eBay Money Back Guarantee, Seller Standards along with the end-to-end user experience across our comprehensive global policies and procedures. We're incredibly proud of our work to establish a trusted global marketplace, but we're not complacent. Our promise to the hundreds of millions of eBay's customers is to remain steadfast in our efforts to provide the most safe, secure, and trusted marketplace, for buyers and sellers, in the world.

As the Senior/Staff Data Scientist, you will play a critical role in continuously improving the Trust organization's execution framework using processes, systems, and data. You will partner with Trust domain leaders; and, Product Management, Analytics, Data Science, Engineering and Design to identify areas of opportunity, size impacts and drive insights into operational plans. You will use predictive analytics to inform marketplace level decisions and ensure solutions meet our stated goals and objectives while accounting for changing market and economic conditions. You will create the overarching infrastructure and operational strategy to drive measurable impact and scale across the Trust organization's areas of focus. Lastly, you will ensure that the needs of our international teams are well represented.

What You'll Do

Drive Strategic Insights: Apply strategic, operational and analytics standard processes to secure agreement from multiple partners for long-term solutions, and influence leaders across the Trust organization; building culture, establishing standards, and achieving goals.

Analyze & Identify Opportunities: Drive analysis of key problems to identify the next big opportunity to improve customer experience and trust for buyers & sellers on the platform.

Define & Monitor Metrics: Build and develop KPIs to track the trust experience of users on the platform. You will be responsible for monitoring the metrics and understanding the root causes behind the metric's movement.

Be Accountable: Define business objectives and measure progress in achieving results; demonstrate strong commitment towards goals and driving complex projects focused on reducing customer contacts, improving cost, quality, customer experience, and delivering bottom line savings.

Who You Are - A Proven Leader Who

  • Is a strategic thought leader that understands the importance of analytics, design, and research; and how they all fit into building new processes and deploying new technologies
  • Has strong analytical/data science skills to dive into data and identify root causes
  • Builds models (analytics & machine learning) to segment users on the platform
  • Applies statistical, machine learning & deep learning techniques to build solutions to solve complex trust problems
  • Demonstrates data effectively
  • Quickly and proactively resolves issues
  • Takes ownership and delivers results
  • Inspires a hard-working team, delivering results at eBay's scale
  • Sets aggressive personal and team goals
  • Communicates clearly, effectively, and proactively with exceptional listening, written and verbal communication skills

Minimum Qualifications

  • BA/BS degree, with 8+ years of relevant experience within two or more functional areas (e.g., Quantitative Research, Analytics, Data Science)
  • Deep data analysis expertise with the ability to find the trends and implications within data to inform sound decisions
  • Proven ability to design analytical solutions to tackle complex business problems; and to partner with cross-functional peers to tailor those solutions for the greatest possible impact
  • Deep understanding of ML domains, algorithms and best practices
  • Strong programming (Python/R) and data engineering skills
  • Creative problem-solving skills
  • Relentless execution, resourcefulness, and a track record of delivering results in challenging situations
  • Experience acting as the voice of the customer and channeling many points of view, synthesizing them to drive alignment even in times of friction or disagreement
  • Experience communicating insights through data with senior-level executives
  • Proven experience owning the delivery of large-scale programs (multi $B), experiences, and products from roadmapping to delivery, as well as managing elements related to full-funnel and end-to-end user journeys
  • Strong customer and stakeholder empathy

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 talent@ebay.com. 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.

Jobs posted with location as Remote - United States (Excludes: HI, NM) excludes residents of Hawaii and New Mexico.

This 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.

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.

Similar jobs

Browse All Jobs
Northvolt
July 13, 2024

Senior/Staff Data Engineer

Nextdoor
July 13, 2024
Biobot Analytics
July 13, 2024