Description

You will apply data science and engineering principles to drive integration, transformation, and analysis within Palantir environments.

This role is on-site.

Responsibilities

• Execute data integration and transformation workflows using Palantir Foundry or Palantir Gotham.
• Manage machine learning lifecycles through MLOps practices and cloud operations.
• Develop and automate data manipulation tasks using Python, SQL, and bash.
• Troubleshoot and debug complex systems to ensure operational stability.
• Communicate technical concepts and findings through clear written and verbal reporting.

Required Skills

• 10+ years of professional experience in data science or related roles.
• Hands-on experience with Palantir Foundry and/or Palantir Gotham.
• Proficiency in Python, SQL, and bash.
• Extensive experience with AWS services including SageMaker, Lambda, EC2, S3, Redshift, Glue, and Kinesis.
• Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, MLflow, or Kubeflow.
• Familiarity with Docker and Kubernetes for containerization and orchestration.
• Knowledge of CI/CD pipelines using Jenkins, GitLab, or GitHub Actions.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or a related field.

Preferred Skills

• Advanced degree (Master's or Ph.D.) in a relevant field.
• AWS Certified Solutions Architect or Certified Machine Learning Specialty.
• Experience with real-time data streaming, event-driven architectures, Hadoop, Spark, or Flink.

Key Skills

Education

Any Graduate