Join a leading operations decision-support software company as a Senior Data Scientist, designing and delivering industrialized ML and optimization models that power enterprise operations.

→ Lead design and delivery of end-to-end ML/optimization models and data pipelines for a full-stack product squad

→ Conduct deep-dive analyses and prototype advanced models to prove business impact and identify valuable use cases

→ Build production-grade features using Python with best-practice software engineering (typing, testing, Git workflows)

→ Own algorithm integrations with workflow orchestration platforms (e.g., Dagster) and cloud CI/CD pipelines

→ Mentor team members on technical approaches and contribute to architecture decisions and roadmap prioritization

→ Quantify product adoption and value capture through analysis and stakeholder engagement

Core Skills

✅ 5+ years building production ML/optimization models in Python

✅ Expert-level Python proficiency with strong software engineering practices (OOP, typing, testing) ✅ Hands-on experience architecting and building automated data pipelines and ETL workflows

Data & Analytics

✅ Deep expertise in statistical analysis, feature engineering, and model optimization

✅ Experience hardening models for production with MLOps principles and monitoring

Cloud & DevOps

✅ 3+ years cloud platform experience (AWS, GCP, Azure) and containerization

✅ Strong CI/CD pipeline and workflow orchestration experience (Dagster, Airflow)

Ways of Working

✅ Agile cross-functional team experience with excellent stakeholder communication

✅ Independent delivery with strong technical leadership capability