Data Scientist I or II (MAD-BS-OR)

What you'll do

• Develop, train, deploy, and maintain ML models and end-to-end pipelines for forecasting, anomaly detection, classification, and predictive maintenance.
• Lead data-driven root cause and fault analysis; collaborate with domain experts to turn failure patterns into models and features.
• Build production-ready agentic AI and LLM systems, including tool-calling and RAG, and integrate, test, and document software.

What they ask for

• At least five years’ practical experience writing machine-learning, statistical-modelling, neural-net, and pattern-recognition algorithms; five years in Data Science / Machine Learning.
• Strong Python programming skills and experience with time-series analysis, anomaly detection, statistical modelling, and machine-learning algorithms.
• Hands-on experience with Root Cause Analysis and Fault Tree Analysis or failure modelling; experience with real-world, noisy, large-scale datasets.
• Experience with Agentic AI / LLM systems, including tool-calling architecture, RAG pipelines, prompt engineering, and evaluation frameworks.

Nice to have

• Familiarity with distributed systems, scalable ML infrastructure, and MLOps practices.
• Knowledge of signal processing or physics-based modeling, and graph-based reasoning or causal inference.

Pay

USD 99,608 - USD 136,961 annually (base pay, Data Scientist I); USD 121,673 - USD 167,301 annually (base pay, Data Scientist II)

Tools

Python, TensorFlow, PyTorch, Scikit-learn, Pandas, Spark, SQL, Docker

AI focus

Develop and maintain product AI systems, including ML models and pipelines, agentic AI with autonomous reasoning and tool use, and LLM systems using tool-calling and RAG.