You will join the Team, part of a strategic initiative to build a reusable, scalable Python library designed to support business-critical time series forecasting. This project is embedded within a broader ecosystem of AI & Analytics platforms focusing on observability, knowledge access, intelligent automation, and data governance. Team combines traditional statistical forecasting, machine learning, and deep learning approaches (e.g., scikit-learn, statsmodels, statsforecast, neuralforecast, PyTorch). The roadmap includes incorporating LLM-based forecasting capabilities. The work involves close collaboration with cross-functional teams, contributing to platform components that support a wide range of enterprise applications. You will also be involved in other strategic areas such as: Grafana + OpenTelemetry for full observability and user behavior tracking Sinequa Enterprise Search for knowledge centralization AI/ML tooling (e.g., transformers, scikit-learn) for behavior modeling and segmentation AI agents (LangChain, CrewAI) for intelligent automation Data Governance & FAIR principles (DataHub, Collibra) Data storytelling and visualization (Grafana, Streamlit, Power BI)
Senior Data Scientist AI – Python/Grafana/OpenTelemetry
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