What are the responsibilities and job description for the Data Scientist position at Haystack?
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!
Salary : $77,600 - $176,000