We are looking for a
Data Science engineer who can independently work on
understanding & scoping business problems, apply strong analytical thinking, and build
production-ready solutions that move from insights to predictive modeling and actionable outcomes.
Key Responsibilities
- Work with product, business, and engineering teams to understand problem statements, clarify objectives, and translate them into structured analytical tasks.
- Perform data analysis to identify trends, drivers, anomalies, and root causes, explaining both what is happening and why.
- Build, evaluate, and refine machine learning models (classification, regression, anomaly detection) with strong focus on feature engineering and validation.
- Deploy and maintain ML models in production, following ML Ops best practices such as versioning, CI/CD integration, monitoring, and retraining.
- Design and develop MLbacked APIs, including load handling, pagination and performance considerations.
- Collaborate with data engineering and platform teams to ensure data quality, reliability and scalability of ML solutions.
Required Skills & Experience
- Strong handson experience in Python and applied Data Science / Machine Learning.
- Practical experience moving from EDA and insight generation to predictive modeling and operational use.
- Working knowledge of ML Ops, including model deployment, monitoring, and CI/CD pipelines.
- Understanding of data structures & algorithms (DSA) relevant to efficient data processing and APIdriven systems.
- Experience in developing with analytics/ML services APIs
Good to Have
- Exposure to Data Engineering concepts such as Spark fundamentals and distributed computing.
- Strong working knowledge of SQL for analysis, debugging, and data validation.
Role Expectations
- Own individual DS/ML components endtoend and associated systemlevel design.
- Clearly articulate insights, assumptions and limitations to both technical and nontechnical stakeholders.
- Focus on impact, correctness and maintainability.
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 all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let's Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
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AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.
