Data Scientist

About the role

The role requires a seasoned Data Scientist with extensive experience in AI, ML, and advanced analytics. The ideal candidate will be responsible for developing and deploying AI/GenAI solutions using Palantir Foundry, and will work closely with cross-functional teams to deliver impactful AI/ML initiatives.

Responsibilities

• Design and implement end-to-end AI solutions, including data ingestion, model development, and production deployment.
• Develop and maintain data pipelines and workflows using Palantir Foundry.
• Build and optimize models using TensorFlow, PyTorch, and other relevant frameworks.
• Collaborate with cross-functional teams to design and deploy AI/ML solutions within Palantir Foundry.
• Work with structured and unstructured data at enterprise scale, focusing on data integration, transformation, and operational analytics.
• Deploy AI/ML solutions in cloud platforms like AWS, Azure, or GCP.
• Contribute to the development and maintenance of Foundry Workshop, Code Repositories, and Machine Learning applications.
• Provide technical leadership and mentorship to junior data scientists.

Requirements

• 10+ years of experience in Data Science, Machine Learning, Artificial Intelligence, and Advanced Analytics.
• A Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven track record of delivering impactful AI/ML solutions, research initiatives, and enterprise-scale data science projects.
• Strong expertise in Deep Learning, Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs).
• Hands-on experience in setting up AI/GenAI infrastructure, model deployment, MLOps, and scalable AI platforms.
• Extensive experience with Prompt Engineering, LLM fine-tuning, Retrieval-Augmented Generation (RAG), vector databases, and AI agents.
• Strong programming skills in Python and/or Java.
• Proficiency with machine learning and deep learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, and related AI ecosystems.
• Expertise in data engineering, feature engineering, model optimization, and performance monitoring.
• Strong knowledge of cloud platforms such as AWS, Azure, or GCP for AI/ML workloads.
• Experience working with structured and unstructured data at enterprise scale.
• Excellent analytical, problem-solving, and communication skills.
• Ability to collaborate effectively with cross-functional teams, stakeholders, and business leaders.

Top Skill (Must Have)

Extensive hands-on experience with Palantir Foundry, including building data pipelines and workflows, ontology development and data modeling, AI/ML solution deployment within Foundry, data integration, transformation, and operational analytics, and familiarity with Foundry Workshop, Code Repositories, and Machine Learning applications.

Preferred Qualifications

• Publishations, patents, or significant contributions in AI, Deep Learning, NLP, or Generative AI.
• Experience with knowledge graphs, vector databases, and enterprise AI platforms.
• Experience leading AI initiatives and mentoring junior data scientists.
• Familiarity with MLOps tools, CI/CD pipelines, and model governance frameworks.