Data Scientist 3 Machine learning, Data Engineering & Python
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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 outcomeswitha strong foundationin data engineering and scalable data systems.
Key Responsibilities
Work with product business and engineering teams to understand problem statements clarifyobjectives and translate them into structured analytical and data engineering tasks.
Design build andmaintainrobust data pipelines to ingest process and transform large-scale structured and unstructured data for downstream analytics and ML use cases.
Perform data analysis toidentifytrends 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.
Develop and manage feature pipelines and data workflows that ensure consistency reliability and scalability of ML inputs.
Design and develop ML-backed APIs including load handling pagination and performance considerations.
Collaborate closely with data engineering and platform teams to ensure data quality governance reliability and scalability of end-to-end solutions.
Deploy andmaintainML models in production following best practices for reliability and lifecycle management (MLOpsexposure is a plus).
Required Skills & Experience
Strong hands-on experience in Python and applied Data Science / Machine Learning.
Solid experience in Data Engineering including building scalable data pipelines and working with large datasets.
Proficiencyin SQL for data extraction transformation analysis and debugging.
Experience with distributed data processing frameworks (e.g. Spark) and understanding of data architectures.
Practical experience moving from EDA and insight generation to predictivemodelingand operational use.
Understanding of data structures & algorithms (DSA) relevant to efficient data processing and API-driven systems.
Experience in developing with analytics/ML services APIs.
Good to Have
Working knowledge ofMLOps including model deployment monitoring versioning and CI/CD pipelines.
Experience with cloud-based data platforms or modern data stack tools.
Familiarity with data governance data quality frameworks and observability tools.
Role Expectations
Own individual DS/ML and data engineering components end-to-end including system-level design and data workflows.
Clearly articulate insights assumptions and limitations to both technical and non-technical stakeholders.
Focus on impact correctness scalability and maintainability of solutions.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity productivity and personalized customer experiences. Adobes 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 30000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. Were 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.
Lets 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.
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 .
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 its restricted during live interviews. See how we think about AI in the hiring experience.
Required Experience:
IC
