Senior Data Scientist - Operations ResearchAbout Xanadu: Xanadu’s mission is to build quantum computers that are useful and available to people everywhere.Few people in their life will be able to be a part of something like this, where if we are successful, the technologies we develop will solve some of the world’s most challenging problems, and literally change the world. The successful candidate will join the cross-functional Data Analysis team to develop optimisation and forecasting models that improve the movement of wafer lots through our fabrication partners. Working closely with the fabrication team, you will help reduce cycle times, anticipate delivery milestones, and adapt lot priorities as fab conditions change.You will use operational data and engineering knowledge to formulate models, test decision strategies, and produce reliable forecasts and actionable recommendations.

Your work will help answer questions such as: When will a lot reach its next milestone? Lot-flow optimisation and forecasting is the immediate priority, but as the team grows you will take on recent modelling problems and help shape how data science is applied across Xanadu.The ideal candidate is an impact-driven data scientist who can translate a complex, changing engineering environment into practical models. You will bring a strong foundation in statistics and predictive modelling, with particular depth in optimisation and forecasting.

You will choose methods appropriate to the problem, critically evaluate their assumptions, and develop high-quality prototypes that demonstrate their value.Analyse operational and metrology data; use historical data andsimulation to identify bottlenecks, validate models, and compare strategies against current practice.Develop Python-based prototypes,



documenting models and validation results for engineering handover.MSc/PhD, or BSc with equivalent industry experience, in a quantitative discipline.3+ years applying data science to scientific, engineering, or operational problems, with substantial experience in optimisation and forecasting.Experience working with unstructured and incomplete data.Experience validating forecasts under changing conditions and incomplete observations while avoiding data leakage.Proficiency in Python and reproducible model development, including version control, documentation, and testing;

Experience with mathematical or constraint programming, scheduling heuristics, stochastic or robust optimisation, or multi-objective optimisation.Experience with manufacturing scheduling, capacity planning, supply-chain optimisation, discrete-event simulation, or queueing models.Experience with time-to-event forecasting, including survival analysis.Familiarity with semiconductor fabrication, photonics, process integration, or metrology, including using process data to guide wafer disposition.Experience evaluating models with engineers and defining requirements for implementation.The base salary range is 150,000 - 200,000 CAD. You will also be eligible for equity and benefits.They are fundamental and lay the foundation for culture at Xanadu. We are committed to building an inclusive, safe, and equitable culture and fostering an environment where our employees feel included, valued, and heard.

We are committed to meeting the needs of all individuals and support a barrier-free workplace. ai.please be advised that we may use artificial intelligence (AI) tools to assist in the screening and assessment of applicants for this position. If you would like more information about how your data is processed, please contact us.#

📌 Senior Data Scientist - Operations Research (Winnipeg)
🏢 Xanadu
📍 Winnipeg