Anaplan
Principal Data Scientist - AI
North Carolina-Remote, United States · Principal
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About the role
- Supported by operating principles of being strategy-led, values -based and disciplined in execution, you'll be inspired, connected, developed and rewarded here.
- 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.
Responsibilities
- Advanced Modeling: Lead the research, design, and implementation of advanced Machine
- Predictive Analytics: Drive innovation in Timeseries Forecasting, developing robust and scalable models that enhance predictive planning and scenario modeling capabilities.
- 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.
Requirements
- 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.
- Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments.
- Experience with agentic frameworks and autonomous agent architectures.
Nice to have
- 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
Benefits
- Learning (ML) and Deep Learning (DL) models to solve complex enterprise business problems.
- 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.
Company info
- 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.
Visa & Work Authorization
- less of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique
This listing is sourced directly from Anaplan's careers page and normalized into a canonical job model.