Till Tietz is a senior data scientist based in Sydney with six years of hands-on experience turning causal inference research and statistical software into production-ready solutions that drive measurable business impact. He has a rare blend of academic depth—authoring high-performance Bayesian and causal ML tooling and delivering 150× speedups—and product-facing delivery experience across CX analytics at Delivery Hero and retail analytics at THE ICONIC. Till’s work has repeatedly scaled open-source projects and tooling (tens of thousands of downloads) and optimized runtimes and memory to make large models practical on consumer hardware. He excels at aligning business and data stakeholders, embedding models into decision workflows, and unlocking revenue through model-driven process changes. Notably, he has shipped algorithms that cut model iteration from days to under an hour and translated research-grade methods into real-world gains like a €2M revenue uplift for industrial clients.
Contributions:2 PRs, 58 pushes, 2 branches in 1 year 8 months
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