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We are looking for aData Science engineerwho can independently work onunderstanding & scopingbusiness problems, apply strong analytical thinking, and buildproduction-ready solutionsthat move from insights to predictivemodelingand actionable outcomes.
Key Responsibilities
Work with product, business, and engineering teams tounderstand problem statements, clarifyobjectives, and translate them into structured analytical tasks.
Performdata analysistoidentifytrends, drivers, anomalies, and root causes, explaining bothand.
Build, evaluate, and refinemachine learning models(classification, regression, anomaly detection) with strong focus on feature engineering and validation.
Deploy andmaintainML models in production, following ML Ops best practices such as versioning, CI/CD integration, monitoring, and retraining.
Design and developMLbackedAPIs, including load handling,paginationand performance considerations.
Collaborate with data engineeringand platform teams to ensuredata quality,reliabilityand scalabilityof ML solutions.
Required Skills & Experience
Stronghandsonexperience inPythonand appliedData Science / Machine Learning.
Practical experience moving fromEDA and insight generationtopredictivemodelingand operational use.
Working knowledge ofML Ops, including model deployment, monitoring, and CI/CD pipelines.
Understanding ofdata structures & algorithms (DSA)relevant to efficient data processing andAPIdrivensystems.
Experiencein developingwithanalytics/ML servicesAPIs
Good to Have
Exposure toData Engineeringconcepts such asSpark fundamentalsanddistributed computing.
Strong working knowledge ofSQLfor analysis, debugging, and data validation.
Role Expectations
Own individual DS/ML componentsendtoendand associatedsystemleveldesign.
Clearly articulate insights,assumptionsand limitations to both technical and nontechnical stakeholders.
Focus onimpact,correctnessand 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 , , , comprehensive , the , the we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an 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.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email or call +1 408-536-3015.
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 .
Job ID: 144939089
