Lead Analyst - Palantir

s and provide data-driven solutions. Additionally, you will collaborate on setting best practices for data management, security, and governance in Palantir environments.
• Design, develop, and maintain Palantir-based data pipelines, applications, and integration solutions.
• Implement robust data transformation workflows, ensuring high-performance and scalability.
• Work closely with cross-functional teams to gather requirements and provide data-driven solutions.
• Collaborate on setting best practices for data management, security, and governance in Palantir environments.
• Troubleshoot and resolve issues with Palantir data platforms and systems.
• Conduct performance tuning and optimization of Palantir tools for maximum efficiency.
• Learn and implement data modeling, integration, and data visualization techniques to support analytical efforts.
• Support and maintain the full lifecycle of Palantir's data tools and related services.
• Ensure compliance with data protection protocols.
• Stay up to date with the latest advancements in AI, machine learning, and deep learning, and evaluate their potential applications
• Develop testing and validation strategies to ensure the reliability, accuracy, and safety of Generative AI models in production.
• Opportunity to build machine learning models

Qualifications:

• Bachelor's degree from an accredited institution.

• Over all 7-10 Years exp

Skills:

• Experience with artificial intelligence data science, machine learning engineering, or data analytics.
• Experience with implementing, testing, and fielding automation artificial intelligence and machine learning solutions.
• Familiarity with the latest Generative AI models, including a general understanding of their strengths and weaknesses.
• Proficiency in programming languages such as Python, Java, SQL, C++, TypeScript/JavaScript, or similar.
• Good understanding of Data Integration technologies.
• Good understanding of API-First architecture.
• Good understanding on enterprise data projects (data warehouses/master data management, others) with hands-on data analysis.
• Experience with Agile and DevOps processes.
• Must be able to deal with ambiguity and adapt to changing business needs.
• Good team player, self-motivating, and committed with an ability to work under pressure and to tight deadlines.
• Ability to work independently and have knowledge of all aspects of the Software Development Lifecycle.
• Strong communication skills and the ability to explain complex concepts to non-technical stakeholders.
• Must be able to collaborate with cross-functional teams to solve complex problems and develop innovative solutions.