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.
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.
Common Tools in Job Descriptions - Databases: SQL, NoSQL (MongoDB, Cassandra), Data Warehouses (Snowflake, Redshift).
- Libraries: Pandas, NumPy, Scikit-learn, MLlib.
- Frameworks: Apache Spark, Kubernetes.
