Data Science Engineer

Our Company

Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

Join Adobe's Customer Solutions (ACS) organization as a Senior Data Science Engineer, where we build intelligent tools, workflows, data pipelines, and models that help our customers thrive. Our mission is to drive customer health, adoption, and value through data-driven insights and next-generation AI-powered solutions.

We partner closely with Customer Success, Customer Engineering, Professional Services, and other cross-functional teams to deliver internal products and analyses that empower Adobe's Digital Experience (DX) business. From agentic LLM workflows to predictive churn models, we're shaping the future of customer intelligence-and we're looking for a passionate engineer to help us push the boundaries.

• Design, build, and maintain scalable data science workflows and GenAI/ML pipelines using Databricks, SQL, Python, and cloud-native tools.
• Develop and deploy LLM-powered agents and GenAI solutions that automate insights, optimize customer journeys, and surface proactive recommendations.
• Create and evolve models that predict customer health, churn risk, and value realization, integrating them into robust internal tools and dashboards.
• Collaborate with partners across ACS and DX to understand business needs and translate them into actionable data products.
• Conduct ad hoc and deep-dive analyses to uncover trends, anomalies, and opportunities in customer behavior and engagement.
• Evaluate, fine-tune, and maintain LLMs and ML models using platforms like Azure OpenAI, AWS Claude, and Google Gemini.
• Contribute to the architecture and evolution of our internal analytics ecosystem, ensuring reliability, performance, and scalability.
• Use Git, Databricks Repos, and CI/CD best practices to ensure reproducibility and collaboration.
• Continuously explore and prototype new tools, frameworks, and AI capabilities to keep our solutions on the cutting edge.

• Bachelor's or graduate degree in Computer Science, Data Science, Engineering, or a related field.
• 8+ years of experience in data engineering, data science, ML engineering roles, or relevant experience.
• Strong proficiency in Python, SQL, and distributed computing frameworks like Spark.
• Hands-on experience with Databricks, Delta Lake, and cloud platforms (Azure, AWS, or GCP).
• Deep understanding of LLMs, agentic workflows, and GenAI tools (e.g., Copilot, Claude, Gemini, LLaMA, Databricks Genie).
• Proven track record of building and deploying ML models in production environments.
• Experience with model evaluation, tuning, and lifecycle management (e.g., MLflow).
• Familiarity with Adobe's DX ecosystem is a plus (e.g., Adobe Experience Platform, Adobe Analytics, Customer Journey Analytics).
• Excellent communication and collaboration skills, with the ability to work across technical and non-technical teams.
• A passion for innovation, experimentation, and building tools that make a real impact.
• Innovative thinking, perseverance, and an ability to deal with complex problems
• Demonstrated ability to work independently, navigate ambiguity, and deliver outcomes that will improve current states and business outcomes.

• Experience with data visualization tools (e.g., Power BI, Tableau, Adobe Workspace).
• Familiarity with orchestration tools like Airflow or Databricks Workflows.
• Exposure to graph databases, Elastic Stack, or real-time streaming (Kafka, Kinesis).
• Contributions to open-source projects or a strong portfolio of personal projects.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

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.

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