Principal Data Scientist - AI

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! We're seeking a versatile Principal Data Scientist who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. In this role, you will have a direct impact on our industry-leading platform by architecting and deploying cutting-edge AI solutions that drive intelligent, automated, and forward-looking decision-making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems. This role is open to candidates located in the Eastern or Central time zones. Employees who live within commuting distance of one of our offices will be expected to work onsite two days per week as part of our hybrid work model. Your Impact Advanced Modeling: Lead the research, design, and implementation of advanced Machine Learning (ML) and Deep Learning (DL) models to solve complex enterprise business problems. Predictive Analytics: Drive innovation in Timeseries Forecasting, developing robust and scalable models that enhance predictive planning and scenario modeling capabilities. Generative AI & LLMs: 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. Next-Gen Interfaces: 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. Technical Leadership: Serve as a subject matter expert, mentoring other data scientists and engineers, and fostering a culture of technical excellence, rigorous testing, and continuous learning. Your Qualifications 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). Preferred Qualifications 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 What Makes This Role Exciting Lead a greenfield team building transformative AI capabilities from the ground up Work on cutting-edge conversational and agentic AI technologies Build user-facing AI features that directly impact how businesses plan and make decisions Experiment with the latest GenAI models and techniques Collaborate with talented engineers, data scientists, and product designers Solve unique challenges at the intersection of AI and enterprise software #LI-SP1 Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gende