Data Science Engineer Job at DevSavant Inc.

Data Science Engineer

DevSavant Inc.

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Category:
IT - Software Development

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Not provided

Salary:

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Job Description:

At DevSavant, we are a trusted technology partner specializing in Software Development, Data Engineering, AI/Machine Learning, Cloud Solutions, Automation Testing, and UI/UX Design. We deliver innovative, high-quality solutions with a focus on excellence and results. Our people are at the heart of everything we do, fostering a culture of growth and well-being. Join us and thrive in a supportive, success-driven environment. We're looking for a talented Data Scientist with expert Python skills and experience in processing large amounts of data to join our client's team. You'll be a key player in designing, building, and making our main data pipelines and ML systems (that power our advanced analytics and machine learning models) able to handle more. You'll work closely with data scientists and engineers to create strong, efficient, and scalable systems. If you love solving complex technical problems, building production-ready data systems, and want to make a big impact on a data-driven company, this job is for you! Antenna, our client, is a remote-first company, and we are looking for candidates who can work during US business hours. You will report to the Data Science Lead.

Job Responsibility:

Design, develop, test, and maintain strong and scalable data pipelines using Python and tools for large-scale data processing (like Spark, Dask, or similar on GCP)
Design and take ownership of key parts of our ML systems, making sure they are reliable, efficient, and can grow
Set up and manage MLOps practices, including automatic updates for machine learning models (CI/CD), model monitoring, and automated launch plans
Improve and manage data processing jobs on cloud platforms (GCP: Dataproc, BigQuery, Cloud Run, Cloud Build)
Work with data scientists to get machine learning models ready for production and connect them to our data systems
Write detailed documents for the system designs, code, and systems you create and manage
Fix complex technical problems in data systems that run on many computers and in ML pipelines

Requirements:

3-5+ years of work experience in software engineering, with a strong focus on data engineering, ML engineering, or building applications that use a lot of data
Expert in Python, with a strong understanding of object-oriented design, software system design, and experience building high-quality, testable code for production
Strong, hands-on experience with tools for handling large amounts of data like Apache Spark (PySpark), Dask, or similar
Solid experience with cloud platforms (GCP is highly preferred). This includes putting services live, managing them, making them handle more users (e.g., Docker, Cloud Run, GKE), and working with large data systems (e.g., Dataproc, BigQuery)
Strong SQL skills and experience working with large, complex datasets
Deep understanding of machine learning ideas, the full process of creating a model, and MLOps principles
Excellent problem-solver, good at fixing complex issues in systems that run on many computers, and making them perform better and handle more data
Explain complex technical ideas and system design decisions clearly and effectively in English
Advanced English proficiency (B2-C1)
Excellent communication, teamwork, and consulting skills
Passionate about building strong, scalable systems and are eager to guide and work with a team
Care deeply about code quality, system reliability, and writing good documentation

Nice to have:

Experience in or passion for the Subscription Economy, especially in media and entertainment
Deep knowledge of specific GCP services like Dataproc, Dataflow, Cloud Composer, Vertex AI, or Kubernetes Engine
Experience building and maintaining Python code (libraries) used by many, or contributions to open-source projects
Advanced knowledge of MLOps tools and ways to manage workflows (e.g. Cloudbuild, CloudRun)

Additional Information:

Job Posted:
February 20, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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