Anaplan

Technology

PrincipalDataScientist

$250–400k ~AI est. Pennsylvania, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Principal Data Scientist at Anaplan. Skills: Machine Learning, Deep Learning, Time Series Forecasting, Generative AI, LLMs, MLOps. Lead research. Design advanced models”

What You'll Achieve.

Outpace competition; Drive intelligent decision-making; Drive automated decision-making; Drive forward-looking decision-making

Industry & Context.

Technology
Problems you'll solve

Optimizing business decision-making; Solve complex enterprise business challenges; Solve complex planning challenges

What They're Looking For.

Must Have

Extensive professional engineering experience, AI experience, Machine Learning experience, Transformer architectures, Prompt engineering, Conversational AI patterns, Autonomous agent frameworks, Experience fine-tuning LLMs, MLOps practices, LLMOps practices, High proficiency in Python, Modern software development practices, Rigorous testing, Code reviews, CI/CD pipelines, Hands-on experience traditional ML, Hands-on experience deep learning, Time Series Forecasting algorithms

Nice to Have

Background in Computer Science, Background in Artificial Intelligence, Background in Statistics, Background in Data Science, Experience with scalable cloud infrastructure, Experience with AWS, Experience with GCP, Experience with Azure, Experience with MLOps tools, Background in forecasting, Background in planning, Background in analytics applications, Familiarity with Anaplan, Familiarity with enterprise planning platforms, Experience with A/B testing, Experience with experimentation frameworks, Contributions to open-source ML projects, Research publications

What You'll Do.

Design advanced models

Implement advanced models

Architect GenAI solutions

Design Conversational AI

Mentor cross-functional teams

Drive technical excellence

Drive rigorous testing

Drive continuous learning

How You'll Work.

Team & Collaboration

Cross-functional teams; Engineering teams; Product teams; Design teams

Full Job Description

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. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. 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! We're seeking a versatile Principal Data Scientist who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. In this role, you will have a direct impact on our industry-leading platform by architecting and deploying cutting-edge AI solutions that drive intelligent, automated, and forward-looking decision-making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems. Your Impact Advanced Modeling & Predictive Analytics: 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. Generative AI Architecture: Architect GenAI solutions, focusing on fine-tuning proprietary and open-source Large Language Models (LLMs) via Transformer architectures for specializ

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