Data Science Engineer
Listed on 2026-07-31
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IT/Tech
Machine Learning/ ML Engineer, Data Engineering, AI Engineer (Applied/Software), Data Science Manager
A Data Science Engineer bridges data science and engineering, focusing on building, deploying, and scaling machine learning models and data pipelines . Key responsibilities include designing ETL processes, implementing AI/ML algorithms in production, optimizing data infrastructure, and collaborating with cross-functional teams to drive actionable business insights using Python, SQL, and cloud technologies.
A Data Science Engineer bridges data science and engineering, focusing on building, deploying, and scaling machine learning models and data pipelines . Key responsibilities include designing ETL processes, implementing AI/ML algorithms in production, optimizing data infrastructure, and collaborating with cross-functional teams to drive actionable business insights using Python, SQL, and cloud technologies.
Education & Experience- Education:
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field. - Experience:
3-8+ years of experience in data engineering, software engineering, or data science roles.
Job Description s
- Databases: SQL, No
SQL (MongoDB, Cassandra), Data Warehouses (Snowflake, Redshift). - Libraries:
Pandas, Num Py, Scikit-learn, MLlib. - Frameworks:
Apache Spark, Kubernetes.
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