Principal AI Data Scientist

🕒 June 6

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Anaplan

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

☁️ SaaS

🏢 Enterprise

💸 Finance

💰 Secondary Market on 2018-03

SaaS • Enterprise • Finance

Anaplan is a leading provider of connected planning and business modeling solutions. The platform enables organizations to transform their decision-making processes using intelligent planning, data management, and predictive insights. Anaplan serves a diverse range of industries, including consumer goods, financial services, and manufacturing, by offering tailored solutions that enhance productivity and drive digital transformation. Recognized by Gartner, Forrester, and IDC, Anaplan is a trusted partner for enterprises looking to improve collaboration and gain a competitive edge through agile and comprehensive planning tools.

📋 Description

• Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Time Series Forecasting models to solve complex enterprise business and planning challenges. • Architect GenAI solutions, focusing on fine-tuning proprietary and open-source Large Language Models (LLMs) via Transformer architectures for specialized enterprise data tasks. • Design and integrate Conversational AI and autonomous Agentic AI workflows to create intuitive experiences that can independently execute complex planning tasks. • Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly 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.

🎯 Requirements

• Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains. • Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks. • Experience fine-tuning LLMs (e.g., LoRA, QLoRA, RLHF) specifically for domain-specific enterprise applications. • Taken responsibility for models from concept to production, utilizing 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. • Strong hands-on experience in traditional Machine Learning and deep learning techniques, specifically including Time Series Forecasting algorithms.

🏖️ Benefits

• Our commitment to Diversity, Equity, Inclusion and Belonging (DEIB) • Reasonable accommodation for individuals with disabilities • Opportunities to connect, develop, and succeed