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!