Data Scientist – Palantir
Job Title: Data Scientist – Palantir (GenAI MLOps Engineer)
Location: Jersey City, NJ (onsite)
Experience: 15+ years
Required Skills and Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or a related field.
Strong hands-on experience working with Palantir Foundry and/or Palantir Gotham for data integration, transformation, and analysis.
Proven experience in MLOps or similar roles involving machine learning and cloud operations.
Strong knowledge of AWS services (e.g., SageMaker, Lambda, EC2, S3, Redshift, Glue, Kinesis).
Proficiency in programming languages such as Python, SQL, and bash for data manipulation and automation.
Experience with machine learning frameworks and tools like TensorFlow, PyTorch, Scikit-learn, MLflow, and Kubeflow.
Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
Solid understanding of CI/CD pipelines and tools like Jenkins, GitLab, or GitHub Actions.
Strong problem-solving skills with the ability to troubleshoot and debug complex systems.
Excellent communication skills, both written and verbal, with the ability to present technical concepts clearly.
Job Title: Data Scientist – Palantir (GenAI MLOps Engineer)
Location: Jersey City, NJ (onsite)
Experience: 15+ years
Required Skills and Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or a related field.
Strong hands-on experience working with Palantir Foundry and/or Palantir Gotham for data integration, transformation, and analysis.
Proven experience in MLOps or similar roles involving machine learning and cloud operations.
Strong knowledge of AWS services (e.g., SageMaker, Lambda, EC2, S3, Redshift, Glue, Kinesis).
Proficiency in programming languages such as Python, SQL, and bash for data manipulation and automation.
Experience with machine learning frameworks and tools like TensorFlow, PyTorch, Scikit-learn, MLflow, and Kubeflow.
Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
Solid understanding of CI/CD pipelines and tools like Jenkins, GitLab, or GitHub Actions.
Strong problem-solving skills with the ability to troubleshoot and debug complex systems.
Excellent communication skills, both written and verbal, with the ability to present technical concepts clearly.
