Data Scientist
Core
Build robust, reliable, and innovative AI/ML/DS solutions for internal business partners to solve specific business problems and provide direct value.
Role type
Senior IC Data Scientist (ML/DS)
Builds
Production ML models, automation pipelines, and prototypes (e.g., RAG-based solutions, Agentic processes, knowledge graphs)
Domain
DevSecOps, Software Delivery, Liquid Software
Deliverable
production ML models
Required skills
Machine Learning, Time-Series forecasting, Python ML/DL ecosystem, Database management, Custom RAG system implementation, Model evaluation, Statistical methods
Preferred skills
Backend engineering skills, Prototyping applied research concepts, Independent contribution
Technologies
Python, RAG, Knowledge Graphs, Time-Series forecasting tools
Responsibilities
Listen to stakeholders and propose data-driven solutions using ML models; Collaborate with cross-functional teams to gather requirements and iterate on data research; Own the full lifecycle of ML models and monitor existing models; Rapidly prototype new ideas and productionize successful ones; Identify improvement opportunities with business impact.
Seniority
Senior, hands-on IC