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Principal Data Scientist - AI

Jobr
  • US
    New York, New York, United States
  • US
    New York, New York, United States

Über

At Anaplan, we are a team of innovators focused on optimizing business decision‑making through our AI‑infused scenario planning and analysis platform. We seek a versatile Principal Data Scientist to work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces.
Responsibilities
Lead research, design, and implementation of advanced machine learning, deep learning, and time‑series forecasting models to solve complex enterprise business and planning challenges.
Architect generative AI solutions, focusing on fine‑tuning proprietary and open‑source large language models via transformer architectures for specialized enterprise data tasks.
Design and integrate conversational AI and autonomous agent workflows to create intuitive experiences that can independently execute complex planning tasks.
Collaborate with Engineering, Product, and Design teams to transition AI models from prototypes into robust, 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.
Qualifications
Extensive professional engineering experience in artificial intelligence, machine learning, or related domains.
Deep technical understanding of transformer architectures, prompt engineering, and conversational AI patterns, with practical experience in autonomous agent frameworks.
Experience fine‑tuning LLMs (e.g., LoRA, QLoRA, RLHF) for domain‑specific enterprise applications.
Track record of owning models from concept to production, using 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.
Hands‑on experience in traditional machine learning and deep learning techniques, specifically time‑series forecasting algorithms.
Desirable Skills
Background in computer science, artificial intelligence, statistics, data science, or a related quantitative field.
Experience with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment.
Experience 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.
We are committed to diversity, equity, inclusion, and belonging. All applicants will be given equal consideration regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other personal characteristic.
We provide reasonable accommodations for individuals with disabilities throughout the application and interview process.
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  • New York, New York, United States

Sprachkenntnisse

  • English
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