OVA.Work
Data Science Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Science Engineer with a contract length of "X months," offering a pay rate of "$X/hour." Requires 3-8+ years of experience, proficiency in Python, SQL, and cloud technologies, and a degree in a relevant field.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 21, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Alpharetta, GA
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🧠 - Skills detailed
#Databases #Data Warehouse #Pandas #Kubernetes #Snowflake #Cloud #MongoDB #Spark (Apache Spark) #Apache Spark #NoSQL #Python #Data Science #SQL (Structured Query Language) #AI (Artificial Intelligence) #Data Pipeline #ML (Machine Learning) #Libraries #"ETL (Extract #Transform #Load)" #Statistics #Redshift #Data Engineering #NumPy #Computer Science
Role description
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.
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.
