[Remote] Principal Data Scientist - AI

Note: The job is a remote job and is open to candidates in USA. Anaplan is a company focused on optimizing business decision-making through its AI-infused scenario planning platform. They are seeking a versatile Principal Data Scientist who will work across the full stack of Anaplan AI applications, with responsibilities including architecting and deploying AI solutions that enhance decision-making for global customers.

Responsibilities

• Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Time Series Forecasting models to solve complex enterprise business and planning challenges
• Architect GenAI solutions, focusing on fine-tuning proprietary and open-source Large Language Models (LLMs) via Transformer architectures for specialized enterprise data tasks
• Design and integrate Conversational AI and autonomous Agentic AI workflows to create intuitive experiences that can independently execute complex planning tasks
• Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems
• Serve as a core subject matter expert, mentoring cross-functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning

Skills

• Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains
• Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks
• Experience fine-tuning LLMs (e.g., LoRA, QLoRA, RLHF) specifically for domain-specific enterprise applications
• Taken responsibility for models from concept to production, utilizing strong MLOps and LLMOps practices to ensure scalable, reliable, and monitorable deployments
• High proficiency in Python and modern software development practices, including rigorous testing, code reviews, and CI/CD pipelines
• Strong hands-on experience in traditional Machine Learning and deep learning techniques, specifically including Time Series Forecasting algorithms
• Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field
• Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment
• Background in forecasting, planning, or analytics applications
• Familiarity with Anaplan or similar enterprise planning platforms
• Experience with A/B testing and experimentation frameworks for AI features
• Contributions to open-source ML projects or research publications

Company Overview

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