Principal Data Scientist – AI

🔥 0 minutes ago

🔔 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 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!