Data Science Engineer

OVA.Work; Alpharetta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

OVA.Work is seeking a Data Science Engineer to bridge data science and engineering. You will build, deploy, and scale machine learning models and data pipelines, designing ETL processes and optimizing data infrastructure.

You will collaborate with cross-functional teams to derive actionable business insights using Python, SQL, and cloud technologies. With 3–8+ years in data engineering, software engineering, or data science, you will contribute to production-ready ML systems and scalable data

Qualifications

• 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.
• Strong foundation in building data pipelines and ML models for production environments.

Responsibilities

• Design ETL processes and scalable data pipelines.
• Deploy and scale AI/ML algorithms in production and optimize data infrastructure.

Skills

Python

Data pipelines

ETL design

ML in production

Cloud platforms

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related quantitative field

Tools

SQL

NoSQL

Snowflake/Redshift

Pandas/NumPy/Scikit-learn

Kubernetes

Job 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.