Data Scientist - AI & Automation

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.

Role Overview:

The Finance Innovation & Transformation (FIT) team is driving the next phase of Finance transformation at eBay through process modernization, data, and AI to build scalable solutions that improve efficiency, strengthen controls, and enable smarter decision-making. The team builds advanced AI and intelligent transformation solutions that turn high-value Finance opportunities into scalable, production-ready capabilities.

This role is for a hands-on Data Scientist and AI specialist who will serve as a core developer within FIT, designing, building, and deploying advanced AI, machine learning, and automation solutions for complex Finance use cases. The role includes developing production-grade models, web apps, intelligent agents, automation workflows, and decision-support tools, while translating business problems into scalable technical solutions from concept through deployment.

The ideal candidate brings strong expertise in AI/ML, automation, system design and applied data science. They should be comfortable working across structured and unstructured data, building reusable capabilities, staying current with emerging AI technologies, and applying them to real Finance use cases. Passion for innovation, intellectual curiosity, and delivering measurable business outcomes through automation and AI are key to success

Primary Job Responsibilities:

Partner with Finance and cross-functional stakeholders to shape solution approaches, translate prioritized business problems into scalable technical and system designs, and drive execution of AI and intelligent automation solutions.

Design, build, and deploy production-grade AI, machine learning, and automation solutions using core Python, SQL, modern AI/ML frameworks, and related technologies to solve complex Finance use cases.

Develop intelligent agents, web apps, automation workflows, and decision-support tools that move beyond analysis into execution and integrate seamlessly into business processes.

Build and maintain robust data pipelines, model workflows, and reusable solution components that support scalability, reliability, and long-term adoption.

Evaluate emerging AI technologies and AI-assisted development tools, and apply leading and emerging solutions where appropriate to accelerate implementation and create measurable business value.

Monitor, refine, and scale deployed solutions to improve performance, reliability, usability, and alignment with evolving business needs.

Partner proactively with teams across Finance, Product, Engineering, ITSS and other functions to ensure strong collaboration, visibility, and successful delivery across the solution lifecycle.

Job skills required:

Intellectual curiosity, strong problem-solving skills, and comfort working in ambiguity and fast-evolving technology spaces.

Proven experience building and delivering end-to-end AI, machine learning, and intelligent automation solutions from technical/system design and data preparation through deployment and ongoing optimization.

Strong programming and technical skills in Python, SQL, and modern AI/ML frameworks; experience building scalable applications, automation solutions, or decision-support tools is highly valued.

Experienced in handling big data (Hadoop, Teradata, etc.) and agile experience; Google Big Query experience is a plus

Ability to translate business needs into scalable, maintainable software and automation solutions.

Comfort operating as a hands-on individual contributor while collaborating effectively across global, cross-functional teams.

Strong communication and stakeholder management skills, with the ability to explain technical concepts clearly and drive alignment across business, data, product, and engineering partners.

Desired Qualifications:

4+ years of experience designing and delivering AI, machine learning, and intelligent automation solutions in complex enterprise environments.

Strong programming proficiency in Python and SQL, with experience using modern AI/ML frameworks to build scalable technical solutions.

Experience delivering production-ready solutions in complex, regulated, or controls-focused environments is preferred.

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