Customer-Facing Data Scientist – Demand Forecasting

Lead and build an elite data science team at Peec AI, taking hands-on responsibility for designing, training, and deploying ML models that power AI search recommendations. This player-coach role requires 8+ years of data science experience with 3+ years in leadership, deep Python expertise, and a first-principles understanding of LLMs and AI search systems. Own the full ML lifecycle from research to production, setting the technical bar for the organization.

This data scientist role designs and experiments with algorithms for personalized product recommendations across millions of users. The position involves working with large-scale behavioral and product data, building models to increase engagement and conversion, and collaborating with ML and data engineers to deploy models to production.

Train, test, and ship ML models that power Peec AI's recommendations for boosting brand visibility in AI search. This role involves developing algorithms to extract actionable insights from AI search behavior and owning the full model lifecycle from experimentation to production. Requires proven Python backend skills, deep curiosity about LLMs, and experience building data pipelines on GCP.

This role involves consulting on machine learning and AI solutions, advising customers on best practices for predictive modeling and AI adoption. The consultant will work with clients to identify use cases and implement AI-driven solutions.

This Solution Engineer role focuses on technical pre-sales, implementation, and customer support for Pecan AI's platform. The engineer will integrate the AI platform with customer systems, ensure successful deployment, and provide technical assistance to clients.

This role involves designing and building machine learning models and infrastructure for Pecan's AI platform. The engineer will work on scalable ML pipelines, model deployment, and performance optimization.