Data Science Engineer

Ova Technologies

🇺🇸 United States

On-site

7 months ago

Machine Learning
ETL
AI/ML
Python
SQL
NoSQL
MongoDB
Cassandra
Snowflake
Redshift
Pandas
NumPy
scikit-learn
Apache Spark
Kubernetes

7 months ago

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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.

Common Tools in Job Descriptions

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

Data Science Engineer · Ova Technologies

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