[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 AI-infused scenario planning and analysis. They are seeking a Principal Data Scientist to lead the development of advanced AI solutions that enhance their platform and drive automated decision-making for global customers.
Responsibilities
- Lead the research, design, and implementation of advanced Machine Learning (ML) and Deep Learning (DL) models to solve complex enterprise business problems
- Drive innovation in Timeseries Forecasting, developing robust and scalable models that enhance predictive planning and scenario modeling capabilities
- Architect Generative AI solutions, focusing on fine-tuning open-source and proprietary Large Language Models (LLMs) for specialized enterprise data tasks, heavily leveraging Transformer architectures
- Design and integrate Conversational AI interfaces and Agentic AI workflows to create intuitive, autonomous user experiences that can independently execute complex planning workflows
- Collaborate with cross-functional teams (Engineering, Product, and Design) to transition AI models from prototype to robust, scalable production systems
- Serve as a subject matter expert, mentoring other data scientists and engineers, and fostering a culture of technical excellence, rigorous testing, and continuous learning
Skills
- 10+ years of hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains
- End-to-end exposure in model lifecycle development, including extensive experience in training and deploying ML models in production environments
- Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns
- Experience in fine-tuning LLMs for domain-specific enterprise applications
- Proficiency in Python and modern software development practices (testing, code review, CI/CD)
- Proven track record of delivering complex technical projects on time with high quality
- Extensive hands-on experience with traditional Machine Learning, Deep Learning techniques, and Timeseries Forecasting algorithms
- Deep technical understanding of Transformer architectures and practical experience fine-tuning LLMs (e.g., LoRA, QLoRA, RLHF)
- Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments
- Experience with agentic frameworks and autonomous agent architectures
- Proficiency in Python and modern software development practices (testing, code review, CI/CD)
- M.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field
- Published research, patents, or significant contributions to open-source projects in the AI/ML community
- 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
- Experience with model observability tools
Company Overview
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