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Data Science Engineer - Adobe
Data Scientist
Develop and operationalize data science solutions, building scalable pipelines and models using Python, SQL, Spark, and AWS to drive product insights and automation.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end data pipelines and feature stores for machine‑learning models.
- Collaborate with product and engineering teams to translate business problems into scalable data science solutions.
- Implement, train, and evaluate predictive models using Python libraries and Spark, ensuring production‑ready performance.
- Deploy and monitor models and data workflows on AWS services, automating CI/CD pipelines.
- Perform data analysis, cleansing, and validation using SQL and big‑data tools to support analytics and reporting.
Requirements
- Strong proficiency in Python and SQL for data manipulation and model development.
- Experience building data pipelines and processing large datasets with Spark or similar big‑data frameworks.
- Hands‑on experience with machine‑learning algorithms, model evaluation, and deployment in cloud environments (AWS).
- Solid understanding of data engineering concepts, including ETL, data warehousing, and workflow orchestration.
- Ability to work cross‑functionally, communicate technical concepts clearly, and deliver production‑grade solutions.
Skills
pythonsqlmachine learningaws