Data Scientist - Palantir - Onsite

ZipRecruiter; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a talented Data Scientist specializing in MLOps. This role involves leveraging advanced tools like Palantir for data integration and transformation, along with AWS services for cloud operations. Ideal candidates will have extensive experience in machine learning frameworks and a strong programming background. Join a dynamic team where your expertise will drive innovative solutions in data science and cloud technologies, making a significant impact in the industry. If you're passionate about solving complex problems and advancing your career in a forward-thinking environment, this opportunity is perfect for you.

Qualifications

• 15+ years of experience in data science and engineering.
• Strong hands-on experience with Palantir tools for data integration.

Responsibilities

• Integrate and analyze data using Palantir Foundry and Gotham.
• Implement MLOps practices for machine learning and cloud operations.

Skills

Palantir Foundry

Palantir Gotham

MLOps

AWS Services

Python

SQL

Bash

TensorFlow

PyTorch

Docker

Education

Bachelor's in Computer Science

Master's in Data Science

Ph.D. in a relevant field

Tools

AWS SageMaker

AWS Lambda

AWS EC2

AWS S3

AWS Redshift

AWS Glue

AWS Kinesis

MLflow

Kubeflow

Jenkins

Job description

Job DescriptionJob Description

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 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.

Qualifications:

• Advanced degree (Master's or Ph.D.) in a relevant field.
• AWS Certified Solutions Architect or Certified Machine Learning Specialty certification.
• Familiarity with DevOps practices and tools.
• Experience with real-time data streaming and event-driven architectures.
• Knowledge of big data technologies like Hadoop, Spark, and Flink.