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Customer Onboarding & Engine Customization: Lead the technical deployment of our engines for
Analytic Engine Development: Design and develop scalable functional analytic capabilities that
Advanced Modeling & Timeseries Forecasting: Design, train, and implement robust Machine
Feature Engineering Pipelines: Build and optimize scalable data pipelines leveraging a hybrid
End-to-End Deployment (MLOps): Partner with our engineers to transition your models from prototype

Strong hands-on professional experience in Data Science, successfully building and deploying
Strong predictive modeling foundation: Extensive experience with traditional ML algorithms, Deep
Experience developing production-grade Python code: High proficiency in Python, Pandas, and modern
Data & Pipeline Expertise: Hands-on experience optimizing data models and access patterns for
Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP
MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and

Data Scientist

Meet JobCopilot: Your Personal AI Job Hunter