Able to run an entire project with minimal to no supervision
Design and build mathematical/statistical solutions according to business requirements
Translate requirements into programmable statistical models, assess timelines, and evaluate trade-offs between techniques and business needs
Implement all project stages (data collection and analysis, formatting for model ingestion, modeling, and generation of usable outputs)
Ability to guide and teach less experienced team members in any part of the process/lifecycle of a machine learning project
Create and configure intents, entities, and conversational flows using LLMs
Develop statistical and mathematical models in Python
Create and maintain ML projects with CI/CD
Implement business logic and decision rules in models
Ensure performance, scalability, and resilience of integrations
Monitor and optimize the performance of created models
Assist in mentoring less experienced team members

Experience with Python development
Experience with Git
Experience with Docker
Experience with AWS or GCP cloud platforms
Experience with Machine Learning
Knowledge of agent creation (e.g., LLM agents)
Familiarity with chatbot concepts and conversational flows
Preferred: Knowledge of Kedro
Preferred: Experience developing optimization models for markets with large and frequently updated portfolios

Senior Data Scientist – Pricing

Key skills