Data Scientist

We're hiring on behalf of a Haystack partner!

The Role

• Design, implement, and validate analytics for multi-INT, geospatial, and space-system data.

• Build and evaluate AI/ML models using libraries such as TensorFlow, PyTorch, and Scikit-learn.

• Contribute to data engineering workflows, including ingestion, transformation, QC, and storage of large mission datasets.

• Develop analytic prototypes and support their operationalization into cloud-native platforms.

• Integrate models and analytics into mission-critical workflows supporting near-real-time data processing.

• Perform feature engineering, model training, hyperparameter tuning, and baseline creation for anomaly detection.

What You'll Need

• Experience in data science, applied analytics, or ML.

• Experience working with geospatial or multi-INT datasets and developing AI/ML models.

• Experience with distributed compute environments and handling high-volume mission data.

• Experience integrating models or analytics into production or mission workflows.

• Experience with cloud-native ML platforms such as AWS SageMaker or Azure ML.

• Experience developing queries, transformations, and operational analytics in SQL and Python.

What's On Offer

• Competitive annual salary ($77,600 - $176,000) plus comprehensive benefits.

• Opportunity to contribute to mission-focused modernization in space-based GEOINT environments.

• Work within a multi-disciplinary team of data engineers, mission analysts, and cloud engineers.

• Develop and deploy cutting-edge analytic models enhancing decision advantage for operational users.

Apply via Haystack today!