Data Scientist

We are seeking a highly experienced Data Scientist with deep expertise in Palantir Foundry and/or Palantir Gotham to join our team on a contract basis. The ideal candidate will have a strong background in data engineering, machine learning operations (MLOps), and cloud technologies, with a proven track record of delivering impactful data-driven solutions.
Key Responsibilities:
Leverage Palantir Foundry or Gotham to perform data integration, transformation, and advanced analytics.
Design and implement scalable machine learning solutions with robust MLOps practices.
Utilize AWS services (e.g., SageMaker, Lambda, EC2, S3, Redshift, Glue, Kinesis) to support cloud-native data science workflows.
Develop and automate data pipelines using Python, SQL, and Bash.
Apply machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, MLflow, and Kubeflow.
Work with containerization and orchestration tools like Docker and Kubernetes.
Implement CI/CD pipelines using tools such as Jenkins, GitLab, or GitHub Actions.
Troubleshoot and debug complex data systems to ensure reliability and performance.
Communicate technical insights effectively to both technical and non-technical stakeholders.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or a related field.
15+ years of experience in data science, data engineering, or related domains.
Strong hands-on experience with Palantir Foundry and/or Palantir Gotham.
Proficiency in Python, SQL, and Bash scripting.
Solid understanding of MLOps and cloud-native machine learning practices.
Experience with AWS services and modern machine learning tools.
Familiarity with Docker, Kubernetes, and CI/CD processes.
Excellent analytical, troubleshooting, and communication skills.
Preferred Qualifications:
Advanced degree (Master’s or Ph.D.) in a relevant field.
AWS certifications such as Solutions Architect or Machine Learning Specialty.
Experience with DevOps practices and tooling.
Knowledge of real-time data streaming and event-driven architectures.
Familiarity with big data technologies such as Hadoop, Spark, and Flink