Data Science Engineer
AI summary of the role
Senior Data Science Engineer on the Adobe Firefly team, focused on understanding adoption and usage of Firefly's generative AI across third-party agentic surfaces like ChatGPT, Claude, and Gemini.
What you’ll do
- Design and analyze experiments (hypothesis testing, A/B) to evaluate product changes.
- Build and maintain scalable, automated data pipelines for high-volume, unstructured usage data.
- Identify patterns and actionable insights to inform product strategy and roadmap for Firefly agent and partner platforms.
- Communicate findings to technical and non-technical stakeholders to drive decisions.
What you’ll bring
- 6+ years of experience in data science, data/ML engineering, or analytics engineering.
- Bachelor's degree in quantitative/engineering field or equivalent; Master's preferred.
- Strong skills in Python, SQL, or Scala and ability to integrate data from multiple sources.
- Proven experience architecting scalable data pipelines and owning large-scale data products.
Technologies
Python · SQL · Scala · A/B testing · data pipelines · LLM · agentic · product analytics
About Adobe
Builds creative, document, and enterprise customer-experience software, now embedding Firefly AI and agents across creator and marketer workflows.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
The Opportunity Adobe Firefly is redefining how people create, not only inside Adobe's own apps, but increasingly wherever creativity happens. Our generative AI is now reaching users directly through third-party agentic surfaces like ChatGPT, Claude, and Gemini, where people call Adobe's tools without ever opening a traditional Adobe product. Understanding how these experiences are adopted, where they delight, and where they fall short is one of the most exciting and least-charted data problems at the company. We're looking for a Senior Data Science Engineer to help us make sense of it. You'll build the data foundations and generate the insights that shape how our Firefly agent, and the tools it exposes across partner platforms, evolves. You'll partner closely with our Third-Party (3P) team, which owns how Firefly is accessed through external agents and assistants, while staying
More from the job description
The Opportunity Adobe Firefly is redefining how people create, not only inside Adobe's own apps, but increasingly wherever creativity happens. Our generative AI is now reaching users directly through third-party agentic surfaces like ChatGPT, Claude, and Gemini, where people call Adobe's tools without ever opening a traditional Adobe product. Understanding how these experiences are adopted, where they delight, and where they fall short is one of the most exciting and least-charted data problems at the company. We're looking for a Senior Data Science Engineer to help us make sense of it. You'll build the data foundations and generate the insights that shape how our Firefly agent, and the tools it exposes across partner platforms, evolves. You'll partner closely with our Third-Party (3P) team, which owns how Firefly is accessed through external agents and assistants, while staying connected to the broader Firefly data picture. This is a hands-on role for someone who loves turning messy, high-volume, ambiguous data into production-ready pipelines and decisions leadership can act on fast. What You'll Do Design and analyze experiments: conduct sound statistical analysis (hypothesis testing, A/B experimentation), recognizing errors and biases and weighing the pros and cons of approaches within the business context. Turn data into direction: identify patterns and actionable insi [... source excerpt omitted ...] lable, automated, and reliable data pipelines that consolidate diverse, high-volume, and often unstructured usage data from across Adobe's agentic and third-party surfaces. Write production-quality code: apply best practices in coding, testing, and architecture design; review others' code and provide effective feedback; and build tools and processes that benefit multiple teams. Drive projects to completion: independently manage one or more technical projects start to finish with minimal managerial guidance, and begin to lead initiatives that inform broader team strategy and goals. Partner cross-functionally: collaborate with Product Management, Engineering, Design, and partner- [... source excerpt omitted ...] on for platform or partner ecosystems About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where
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