Qureos Mentor

eBay

<div>At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;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&rsquo;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 &mdash; 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 &mdash; and help us connect people and build communities to create economic opportunity for all.
About the Team and Role: Join eBay&rsquo;s Authentication Operations team, where innovation meets action in a fast-paced setting. We've launched authentication for watches, handbags, sneakers, trading cards, jewelry, and apparel across multiple regions in just four years. As a diverse and cohesive unit, we're seeking a Warehouse Operations Lead to spearhead success at our new Louisville, Kentucky facility.
As part of the Global Facility Operations team, you&rsquo;ll report to the functional operations lead in Louisville, KY. Your role involves steering a team of warehouse associates, ensuring safety, budgetary, and operational goals are met, and driving people management and development. You'll lead hourly employees, coach and mentor them to achieve performance targets, identify and resolve process gaps, and build strong employee relations and leadership capacity. Collaboration with internal and external partners is crucial to align with eBay principles and business objectives.
Schedule: 10:30pm - 6:30am (Sun-Thurs) and flexibility to adjust shift changes with adequate notice.
What You Will Accomplish:<ul><li>
Lead Effectively: Lead up to 50 hourly associates to deliver outstanding results in safety, quality, customer experience, employee engagement, development, and cost management.</li><li>
Drive Initiatives: Propel quality and performance initiatives, process changes, and Lean strategies to help your team exceed business goals.</li><li>
Set Expectations: Define clear requirements and expectations, identify training needs, measure performance, provide feedback, and hold team members accountable.</li><li>
Implement Improvements: Source ideas from your team and integrate them into effective improvement plans, validating changes for impact and financial benefits.</li><li>
Champion Practices: Uphold eBay DNA principles and ensure adherence to best practices.</li><li>
Plan Strategically: Utilize data metrics for capacity planning and staffing to proactively address changes affecting team performance or customer experience.</li></ul>
Additional Job Elements:<ul><li>
Communicate Professionally: Respond to all inquiries, both internal and external, with professionalism.</li><li>
Foster a Supportive Environment: Encourage employees to escalate concerns without fear of retaliation.</li><li>
Maintain Effective Communication: Ensure professional interactions with employees, leadership, and business partners at all times.</li></ul>
What You Will Bring:<ul><li>
Educational Background: Bachelor&rsquo;s degree or equivalent experience from an accredited university preferred.</li><li>
Experience: 3+ years of warehouse operations and leadership experience preferred.</li><li>
Track Record: Proven success in leading operational improvements.</li><li>
Safety and Quality Focus: Advocate for a strong safety, quality, and employee engagement culture.</li><li>
Diversity Champion: Promote diversity, inclusion, and belonging.</li><li>
Analytical Prowess: Strong analytical skills with the ability to work independently and influence outcomes.</li></ul>
Become a key player in our forward-thinking team and contribute to the operations that propel eBay's success. Apply now to join our collaborative and dynamic environment!
The base pay range for this position is expected in the range below:
$58,700 - $72,100
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 401(k) eligibility and 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.
If hired, employees will be in an &ldquo;at-will position&rdquo; and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. 
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.</div>

Warehouse Operations Lead

<div>At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;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&rsquo;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 &mdash; 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 &mdash; and help us connect people and build communities to create economic opportunity for all.
Role: Senior Manager, Data Science &amp; Analytics &ndash; Search Product Analytics Lead
Overview
We are seeking a Senior Manager / Lead Data Scientist to own the Search Product Analytics function at eBay. In this role, you will partner closely with the Search product and engineering teams, using eBay&rsquo;s vast data ecosystem to uncover insights, influence the Search roadmap, and drive customer-centric innovation across our marketplace.
You will manage a team of data scientists, champion experimentation excellence, and develop analytics strategy for one of eBay&rsquo;s most critical user experiences &mdash; Search. This role combines hands-on analytics depth, strategic impact, and leadership responsibility.<div></div>
Key Responsibilities
1. Strategic Analytics Leadership<ul><li>
Serve as the analytics leader for eBay&rsquo;s Search product, setting the vision for data-driven decision-making and influencing long-term strategy.</li><li>
Partner with Product, Engineering, and Business collaborators to define success metrics, establish analytical frameworks, and guide prioritization.</li><li>
Lead the end-to-end analytics roadmap for Search &mdash; from opportunity sizing and hypothesis generation to measurement, experimentation, and impact evaluation.</li></ul>
2. Experimentation &amp; Measurement<ul><li>
Develop, implement, and interpret A/B tests and causal inference studies to evaluate new Search experiences, ranking models, and personalization algorithms.</li><li>
Translate complex analytical outcomes into clear, actionable insights for non-technical audiences.</li><li>
Promote standard processes in experimental design, metric definition, and statistical rigor across teams.</li></ul>
3. Team Leadership &amp; Development<ul><li>
Lead, mentor, and grow a high-performing analytics team; develop career paths and champion a culture of curiosity, rigor, and impact.</li><li>
Partner with recruiting and analytics leadership to attract and retain top analytical talent.</li><li>
Provide coaching and technical mentorship to ensure consistent analytic quality and scalability across projects.</li></ul>
4. Cross-Functional Collaboration<ul><li>
Act as the analytics link between Search, Personalization, Ads, and Buyer Experience teams to ensure well-rounded understanding of user intent and behavior.</li><li>
Drive alignment across product areas, ensuring consistent measurement standards and shared findings.</li><li>
Advocate for data democratization by building intuitive reporting, self-serve tools, and metric documentation.</li></ul>
5. Operational &amp; Execution Excellence<ul><li>
Evaluate feature and experiment performance, ensuring decisions are rooted in robust data analysis.</li><li>
Enable rapid insight generation through automation and scalable experimentation pipelines.</li><li>
Continuously improve analytical workflows and frameworks for speed and reliability.</li></ul><div></div>
Required Skills &amp; Experience<ul><li>
8+ years of experience in product analytics, data science, or experimentation roles; 2+ years leading analytics teams.</li><li>
Strong command of A/B testing design, causal inference, and experimentation measurement.</li><li>
Deep expertise in SQL, Python/R, and data visualization tools (e.g., Tableau).</li><li>
Strong foundation in statistics, machine learning fundamentals, and data-driven hypothesis testing.</li><li>
Proven record of delivering insights that drive measurable business and product impact.</li><li>
Able to translate data into actionable narratives and influence senior executives.</li><li>
Known to work in highly matrixed, cross-functional environments.</li></ul><div></div>
Preferred Qualifications<ul><li>
Advanced degree or equivalent experience in a quantitative field (Statistics, Economics, Computer Science, Engineering, Mathematics, etc.).</li><li>
Experience in Search, Ranking, or Personalization analytics within e-commerce or digital marketplaces.</li><li>
Familiarity with big data platforms, experimentation frameworks, and LLM/AI tools</li><li>
Experience building or influencing data and metric infrastructure for large-scale experimentation systems.</li><li>
Strong presentation and partner management skills, with ability to influence at VP+ levels.</li></ul><div></div>
What You&rsquo;ll Gain<ul><li>
Opportunity to shape the future of eBay&rsquo;s Search experience, a core pillar of buyer engagement.</li><li>
High visibility and ownership over analytics strategy for one of eBay&rsquo;s most data-rich domains.</li><li>
An environment that encourages innovation, curiosity, and technical excellence.</li></ul>
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. 
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.</div>

Senior Manager, Search Product Analytics

<div>At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;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&rsquo;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 &mdash; 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 &mdash; and help us connect people and build communities to create economic opportunity for all.<h2 class="jobSectionHeader">
Role Overview</h2>
We are seeking a Senior Manager, Data Science (Analytics) to lead analytics for eBay&rsquo;s Global Buying Hub (GBH) &mdash; a high-impact portfolio that functions as a microcosm of eBay, spanning category performance, customer behavior, shipping and logistics, trust and risk, and product experiences.
This is a hands-on leadership role. In addition to managing and developing a team of data scientists and analysts, you will personally own and contribute to complex analytical work, particularly in ambiguous, high-impact problem areas. You will set direction, review and elevate the team&rsquo;s output, and directly drive the most critical analyses and data products.
This role requires a leader who can operate at multiple levels &mdash; diving deep into data and models when needed, while also scaling impact through strong people leadership, prioritization, and process.<h2 class="jobSectionHeader">
Key Responsibilities</h2><h3 class="jobSectionHeader">
Analytics &amp; Data Product Leadership (Hands-on)</h3><ul><li>
Own end-to-end delivery of high-impact analytics and data products, including direct individual contribution on complex or strategic problems</li><li>
Lead design of analytical frameworks, modeling approaches, and data product architecture</li><li>
Personally review, debug, and elevate complex analyses and models to ensure rigor and business relevance</li><li>
Ensure analytics solutions are scalable, production-ready, and aligned with business and product strategy</li></ul><h3 class="jobSectionHeader">
People Management &amp; Team Development</h3><ul><li>
Build, lead, and develop a team of data scientists and analysts across experience levels</li><li>
Coach team members through technical guidance, code/analysis reviews, and structured feedback</li><li>
Set a high bar for analytical quality, ownership, and storytelling</li><li>
Partner with recruiting to hire and onboard top analytics talent</li></ul><h3 class="jobSectionHeader">
Execution, Prioritization &amp; Process</h3><ul><li>
Translate business strategy into a clear, prioritized analytics roadmap, balancing IC work with team delivery</li><li>
Make tradeoffs between speed, depth, and scalability, and communicate those decisions clearly</li><li>
Build processes that ensure predictable delivery, high quality, and strong stakeholder trust</li><li>
Establish review mechanisms (design reviews, analysis readouts, postmortems) to scale quality</li></ul><h3 class="jobSectionHeader">
Advanced Analytics &amp; Technical Oversight</h3><ul><li>
Remain technically deep in Python, SQL, statistics, and ML, with the ability to step in hands-on when required</li><li>
Guide and contribute to advanced modeling (e.g., churn, propensity, segmentation, forecasting, experimentation)</li><li>
Partner with data engineering to influence pipeline design and data modeling decisions</li></ul><h3 class="jobSectionHeader">
AI &amp; Analytics Transformation</h3><ul><li>
Drive adoption of AI- and LLM-enabled analytics to improve insight generation and team productivity</li><li>
Experiment hands-on with AI-powered workflows and agentic systems where appropriate</li><li>
Lead the team in operationalizing AI-driven analytics capabilities responsibly</li></ul><h3 class="jobSectionHeader">
Strategic Insights &amp; Executive Communication</h3><ul><li>
Synthesize insights across analyses (both yours and the team&rsquo;s) into clear, executive-ready narratives</li><li>
Act as a trusted analytics advisor to senior product and business leaders</li><li>
Represent analytics perspectives in leadership forums and planning discussions</li></ul><h3 class="jobSectionHeader">
Cross-functional &amp; Global Collaboration</h3><ul><li>
Work closely with product, engineering, and business partners across US and EU markets</li><li>
Influence product roadmaps, success metrics, and measurement strategies through data</li><li>
Ensure strong alignment between analytics priorities and broader organizational goals</li></ul><h2 class="jobSectionHeader">
Required Qualifications</h2><ul><li>
11&ndash;15 years of experience delivering analytics and data science solutions at scale</li><li>
3&ndash;6+ years of experience managing and developing analytics or data science teams</li><li>
Strong hands-on expertise in Python and SQL; able and willing to contribute directly when needed</li><li>
Deep experience with statistical modeling, machine learning, and experimentation</li><li>
Proven track record of personally owning complex analytics problems while scaling delivery through teams</li><li>
Experience working with large, complex datasets and modern data platforms</li><li>
Ability to structure ambiguous problems and drive them to execution</li><li>
Exceptional communication and storytelling skills, including executive-level influence</li><li>
Strong prioritization and execution skills in fast-paced environments</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Experience with AI/LLM-powered analytics or automation solutions, including hands-on experimentation</li><li>
Familiarity with modern data stack tools (e.g., Snowflake, Airflow, dbt)</li><li>
Experience in e-commerce, marketplace, or retail analytics</li><li>
Exposure to data product management or platform analytics teams</li><li>
Experience operating in global, cross-region organizations</li></ul><h2 class="jobSectionHeader">
What You&rsquo;ll Get</h2><ul><li>
A hands-on leadership role with meaningful IC ownership and strategic influence</li><li>
Opportunity to scale analytics impact across millions of sellers and buyers</li><li>
Ownership of high-visibility problem spaces at the intersection of data, product, and business</li><li>
A collaborative, data-driven culture focused on impact, rigor, and innovation</li><li>
A key role in eBay&rsquo;s evolution toward AI-powered analytics at scale</li></ul>
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. 
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.</div>

Senior Manager, Data Science

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;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&rsquo;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 &mdash; 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 &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 About The Team And The Role
 
 
 
 At eBay, we&rsquo;re looking for a motivated Entry-Level HR Generalist / People Experience Advisor to help shape the employee experience at our Louisville, KY Authentication and Fulfillment Center&mdash;home to sneakers, trading cards, and the vibrant TCGplayer community.
 
 
 If you thrive in a fast-paced, hands-on environment and are eager to grow your HR career, this is your chance to learn, lead, and make a difference. You&rsquo;ll be part of an agile, supportive team that drives engagement, builds trust, and keeps our operation running smoothly.
 
 
 This full-time, onsite role partners with site leadership and the Onsite HR Generalist to deliver efficient HR support across recruiting, onboarding, employee relations, data management, and engagement&mdash;ensuring a safe, consistent, and positive employee experience at our Louisville, KY warehouse. The position follows a preferred schedule of 2:30 PM&ndash;11:00 PM ET and includes a 5% shift differential as part of the total compensation package for supporting our 24-hour operation.
 
 
 
 What You Will Accomplish
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Serve as the first point of contact for employee questions and HR support.
 </li>
 <li>
 Build strong partnerships with Site Leaders, Operations Directors, PBPs, Legal, and external vendors to deliver efficient, high-quality HR support in collaboration with onsite Generalists.
 </li>
 <li>
 Help managers document Corrective Council &amp; Conversation Memos for employees across Authentication Operations (US)
 </li>
 <li>
 Coordinate hiring and onboarding activities with the PeX team&mdash; including onsite interviews, leader debrief sessions, and conducting new hire orientations.
 </li>
 <li>
 Support employee relations documentation and investigations under HR guidance.
 </li>
 <li>
 Partner with PeX, safety, security and other business partners to help coordinate training and safety programs for site employees in collaboration with site leadership.
 </li>
 <li>
 Prepare HR reports and assist with audits and compliance checks across US-based Authentication Operations sites.
 </li>
 <li>
 Partner with the site team on engagement, communication, and recognition initiatives.
 </li>
 <li>
 Maintain confidentiality and uphold company values and workplace standards.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 What You Will Bring
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Human Resources, Business, Psychology, or equivalent experience.
 </li>
 <li>
 0&ndash;2 years of HR, recruiting, or administrative experience (internships welcome).
 </li>
 <li>
 Exposure to warehouse, manufacturing, or distribution environments is a plus.
 </li>
 <li>
 Strong communication and organizational skills with attention to detail.
 </li>
 <li>
 Comfortable interacting with all levels of employees and leadership.
 </li>
 <li>
 Demonstrated ability to handle sensitive information with discretion.
 </li>
 <li>
 Willingness to spend time on the floor and build relationships with employees.
 
 
 
 </li>
 </ul>
 To succeed in this role, you will need drive, energy and a positive mindset to empower others. Furthermore, we need someone who lives and breathes Agile delivery, has impact every single day, and wants to take a leading role in coordinating how we work.
 
 
 The base pay range for this position is expected in the range below:
 
 
 $58,700 - $84,400
 
 
 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 401(k) eligibility and 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.
 
 
 If hired, employees will be in an &ldquo;at-will position&rdquo; and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
 
 
 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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
 
 
 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.
 
 
</div>

People Experience Generalist

<div>At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;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&rsquo;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 &mdash; 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 &mdash; and help us connect people and build communities to create economic opportunity for all.<h2 class="jobSectionHeader">
Who Are We?</h2>
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you&rsquo;re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay &ndash; a company you can be proud to be a part of.<h2 class="jobSectionHeader">
About the Role</h2>
We are looking for Data Analysts to join the Landing Page Data team. This is not a traditional reporting analyst role, we need analysts who are strong in SQL, Python, automation, and comfortable partnering with Engineering and Data Science to streamline and improve data workflows.
These analysts will play a critical role in automating manual processes, improving data quality, building repeatable pipelines, and supporting AI-driven systems that reduce operational overhead. You will use data to identify opportunities, enhance landing page quality, and contribute directly to user experience and business outcomes.<h2 class="jobSectionHeader">
What You Will Do</h2><h3 class="jobSectionHeader">
Automation &amp; Workflow Optimization</h3><ul><li>
Build automated scripts, tools, and pipelines using Python, SQL, and workflow automation frameworks to eliminate manual processes.</li><li>
Partner with Engineering/Data Science to operationalize ML-based data quality checks, labeling automation, and rule-based validation scripts.</li><li>
Develop monitoring systems to detect anomalies and trigger automated workflows where possible.</li></ul><h3 class="jobSectionHeader"> 
Data Analysis &amp; Insights</h3><ul><li>
Analyze landing page and category-level data to identify trends, inconsistencies, and optimization opportunities.</li><li>
Work with Product and Engineering to evaluate the performance of landing page variations, experiments, and new automation tools.</li><li>
Conduct root-cause analysis on data quality issues and propose scalable, automated solutions.</li></ul><h3 class="jobSectionHeader"> 
Reporting &amp; Measurement</h3><ul><li>
Build dashboards, recurring reports, and automated reporting pipelines to track data quality, landing page performance, and workflow efficiency.</li><li>
Measure and quantify the impact of automation initiatives (e.g., time saved, quality lift, reduction in manual tasks).</li><li>
Communicate insights clearly to technical and non-technical stakeholders.</li></ul><h2 class="jobSectionHeader">
Minimum Qualifications</h2><ul><li>
B Tech in Computer Science, Information Science, Data Science, Engineering, or related field.</li><li>
4+ years of experience on strong hands-on SQL skills (complex joins, window functions, optimization techniques).</li><li>
Proficiency in Python for data analysis, automation, ETL scripting, and workflow optimization.</li><li>
Experience with:<ul><li>
Data collection, processing, and analysis</li><li>
Working with large datasets</li><li>
Building automated data pipelines</li></ul></li><li>
Strong analytical and problem-solving skills, including ability to investigate, troubleshoot, and resolve data issues.</li><li>
Understanding of web analytics, experimentation, and A/B testing methodologies.</li><li>
Ability to communicate insights and recommendations clearly and concisely.</li><li>
Detail-oriented with excellent organization and documentation skills.</li><li>
Ability to collaborate effectively in a cross-functional, fast-moving environment.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Experience with workflow automation to data quality frameworks. 
Exposure to ML/AI-driven data workflows (classification, labeling, anomaly detection).</li><li>
Experience with dashboarding tools (Tableau, Looker, Power BI).</li><li>
Knowledge of landing page optimization, taxonomy, or search/ranking ecosystems.</li></ul>
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. 
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.</div>

Operations Data Specialist 4

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;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&rsquo;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 &mdash; 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 &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 Job Summary
 
 
 
 eBay is seeking a strategic, analytical, and people-focused
 
 Reconciliation Operations Manager
 
 to lead a growing team focused on ensuring the financial integrity of our payments systems. The role will work closely with the global Reconciliation Operations organization and leadership to ensure global process alignment, effective knowledge transfer, and joint ownership of reconciliation goals and standards. This role combines operational excellence, data-driven problem solving, and people leadership, supporting both day-to-day reconciliation activities and advanced analytics including
 
 AI/ML anomaly detection
 
 .
 
 
 This position is a great fit for professionals who have led
 
 finance operations or analytics teams or production support team
 
 , worked with
 
 big data platforms
 
 , and enjoy driving
 
 cross-functional outcomes
 
 in a fast-paced, highly visible environment.
 
 
 
 Job Responsibilities
 
 
 
 
 Team &amp; Process Leadership
 
 
 
 <ul>
 <li>
 Manage a blended team of Reconciliation Operations Analysts and Reconciliation Data Analysts focused on transaction-level accuracy, data recovery and ledger control.
 </li>
 <li>
 Works closely with the global Team and leadership to deliver on reconciliation operation goals
 </li>
 <li>
 Oversee T+1/T+3 reconciliation cycles across global payment processors, internal systems, and ledger platforms.
 </li>
 <li>
 Drive SOP compliance and internal control readiness (e.g., SOX), including documentation for audit support.
 
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Work closely with Engineering, Product Managers, Finance Controllers, Risk, and Compliance teams.
 </li>
 <li>
 Review exception reporting and analysis with accounting.
 </li>
 <li>
 Follow the SOP global recon teams created to ensure alignment on reconciliations and reporting standards.
 
 
 
 </li>
 </ul>
 
 Technical Oversight
 
 
 
 <ul>
 <li>
 Strong problem solving and issue investigation skill in production
 </li>
 <li>
 Provide strategic direction for data automation, Python/SQL scripting, and Big Data analysis to improve reconciliation coverage and efficiency.
 </li>
 <li>
 Review and guide implementation of machine learning models for anomaly detection, failure prediction, and reconciliation intelligence.
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 8+ years of experience in financial operations, reconciliation, data analytics, or payments ecosystems
 </li>
 <li>
 4+ years of experience managing high-performing teams in a cross-functional environment
 </li>
 <li>
 great team ability to work across multiple offices and time zones in a very diverse setting.
 </li>
 <li>
 Strong tech background especially skills in SQL, Python, and familiarity with Big Data technologies (Hive, Spark, BigQuery)
 </li>
 <li>
 Knowledge of accounting flows, journal entries, and reconciliation automation
 </li>
 <li>
 Demonstrated understanding of AI/ML models (e.g., classification, clustering, anomaly detection)
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in e-commerce, fintech, or payments operations
 </li>
 <li>
 Hands-on exposure to BI/reporting tools (Tableau, MicroStrategy, Power BI)
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 Proven ability to scale data-driven reconciliation solutions across multiple payment channels and geographies
 
 
 
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 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.
 
 
 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.
</div>

Manager, Reconciliation Operations

<div>At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;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&rsquo;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 &mdash; 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 &mdash; and help us connect people and build communities to create economic opportunity for all.
Want to help change the future of retail? Are you looking for a unique and visible role leading Trust Operations at eBay? 
 
Fast-paced, dynamic, and proactive, eBay&rsquo;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.
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. 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. 
 
As a Data Scientist 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. 
Responsibilities:<ul><li>
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.</li><li>
Analyze &amp; Identify Opportunities: Conduct analysis of key issues to identify significant opportunities for improving customer experience and trust for buyers and sellers on the platform.</li><li>
Define &amp; 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.</li><li>
Accountability &amp; 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.</li><li>
Cross-Functional Collaboration: Partner with leaders in Trust, Product Management, Engineering, and Design to integrate insights into operational strategies.</li></ul>
To be successful in this role:<ul><li>
Educational Background &amp; 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.</li><li>
Data Analysis Expertise: Skilled in recognizing trends and implications within data to support informed decision-making.</li><li>
Technical Skills: Proficiency in programming (Python/R) and data querying (SQL).</li><li>
Problem-Solving: Strong creativity in solving problems.</li><li>
Execution &amp; Results: Proven ability to deliver results in challenging situations.</li><li>
Customer Advocacy: Experience in acting as the voice of the customer, synthesizing diverse views to achieve alignment. 
Communication with Leaders: Ability to convey insights drawn from data to senior-level executives.</li><li>
Availability: Flexible and capable of working remotely across multiple time zones. Regular availability is required for meetings between 9:00 AM and 12:00 PM (PDT).</li></ul>
Additionally, the following background and experience is helpful:<ul><li>
Prior experience marketplace Trust</li><li>
Ability to present complex analyses and insights effectively in simple terms.</li><li>
Experience in a leading technology company.</li><li>
Background in e-commerce product.</li><li>
Experience with Natural Language Processing or LLM/GenAI is a plus.</li></ul>
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. 
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.</div>

Data Scientist - Trust

Join eBay and explore 15   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.