Data Science Engineer
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
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.
- Databases: SQL, NoSQL (MongoDB, Cassandra), Data Warehouses (Snowflake, Redshift).
- Libraries: Pandas, NumPy, Scikit-learn, MLlib.
- Frameworks: Apache Spark, Kubernetes.
