Lead AI Scientist: Generative AI & Enterprise Forecasting

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New York (NY)

Hybrid

USD 257,000 - 348,000

Full time

7 days ago
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Benefits offered by this job

Hybrid work model

Job summary

Anaplan is seeking a Principal Data Scientist to advance AI across its enterprise planning platform from model integration to user interfaces. You will influence decision‑making with cutting‑edge AI and scalable solutions for global customers.

Lead a team, mentor colleagues, and collaborate with Engineering, Product, and Design to ship production‑grade AI features in a hybrid, time‑zone aware environment.

Qualifications

  • 10+ years of hands‑on AI/ML experience.
  • End‑to‑end model lifecycle and production deployment.
  • Deep knowledge of LLM APIs and prompt engineering.
  • Experience fine‑tuning LLMs for enterprise data.
  • Proficiency in Python and modern software practices.
  • Proven track record delivering complex projects on time.
  • Strong knowledge of transformer architectures and LoRA/QLoRA/RLHF.
  • Experience with MLOps and LLMOps for production systems.
  • Familiarity with agentic frameworks.

Responsibilities

  • Lead research, design, and deployment of ML/DL models for enterprise problems.
  • Drive timeseries forecasting and scenario modeling capabilities.
  • Architect generative AI solutions with LLMs for enterprise tasks.
  • Design conversational interfaces and autonomous AI workflows.
  • Collaborate with cross‑functional teams to productionize AI models.
  • Mentor data scientists and engineers, promoting best practices.

Skills

Python
LLMs
MLOps
CI/CD
Transformer architectures
Prompt engineering
Timeseries Forecasting
Leadership

Education

MS or PhD in CS/AI/Data Science

Tools

AWS
GCP
Azure

Job description

Anaplan is seeking a Principal Data Scientist to advance AI across its enterprise planning platform from model integration to user interfaces. You will influence decision‑making with cutting‑edge AI and scalable solutions for global customers.

Lead a team, mentor colleagues, and collaborate with Engineering, Product, and Design to ship production‑grade AI features in a hybrid, time‑zone aware environment.

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