Requirements

Expected technologies

Python

SQL

scikit-learn

PyTorch

TensorFlow

XGBoost

Optional technologies

LangChain

Hugging Face

OpenAI API

Operating system

macOS

Our requirements

• 6+ years of data science experience, ideally with a background in two-sided marketplaces or supply chain management.
• Experience with advanced ML models like regression, neural networks, and recommender systems.
• Proficiency in Python, SQL, and popular libraries like scikit-learn, PyTorch, TensorFlow, and XGBoost.
• Familiarity with LLMs and Generative AI frameworks (e.g., LangChain, Hugging Face, OpenAI API).
• Experience with network graph analysis and building/deploying GNN solutions (using tools like networkx, iGraph, PyG).
• Comfortable writing production-level code and working with software engineers and MLOps teams.
• Strong communication skills for effective coordination across teams.

Your responsibilities

• Lead the full process of ML models: You will be in charge of everything from understanding the business problem, determining how AI/ML can provide value, exploring data, building features, developing models, deploying them, tracking their performance, and measuring their impact on the business.
• Build and improve predictive models: You’ll use statistical methods and deep learning to create models for things like market segmentation, forecasting, recommendations, pricing strategies, and fraud detection.
• Design and implement Generative AI solutions: You’ll work on tasks like fine-tuning large language models, creating effective prompts, and generating synthetic data for both internal tools and customer-facing applications.
• Use Graph Neural Networks for relationship modeling: You’ll apply these models to understand relationships between healthcare facilities, professionals, and other related attributes like shifts.