Senior Data Scientist - Machine Learning Data Operations

Senior Data Scientist – Machine Learning Data Operations

Senior Data Scientist – Machine Learning Operations

ABOUT THE JOB

Company Intro : TurbineOne is the frontline perception company. We deliver decision advantage, better situational awareness, and stronger force protection. Our customers love how we automate the right portions of the military intelligence cycle while keeping them in the loop. The company is a small, fast‑moving, and high‑performance startup that is backed by the best DefenseTech venture capitalists with over $50M in funding. We recently raised our Series B round and are valued at $300M. TurbineOne is actively deployed by every branch of the Department of Defense to solve their most critical missions.

Job Title : Data Scientist

Reporting to : Machine Learning team lead

Location : Geographically flexible for home-office

Primary Responsibilities

• Ingesting, organizing, and maintaining large‑scale training datasets from open‑source resources and contract‑specific artifacts
• Creating and managing data cataloging systems to ensure datasets are findable, accessible, and ready for ML training pipelines
• Designing and implementing data labeling workflows, including managing external labeling vendors and quality assurance processes
• Building and maintaining YOLO‑style manifests and annotation formats for custom computer vision datasets
• Performing data cleaning, validation, and augmentation to ensure high‑quality training data
• Conducting exploratory data analysis and generating insights about dataset characteristics, biases, and coverage gaps
• Supporting the ML research team with statistical analysis, experiment design, and model evaluation
• Developing data pipelines and automation tools for continuous data ingestion and processing
• Collaborating with ML engineers to optimize data loading and preprocessing for training efficiency

On a Typical Day You Would

Desired Experience

Nice to Have

Experience with distributed data processing frameworks (Spark, Dask)

Startup Culture Expectations

Eligibility

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