Secondmind

Data Scientist

• Developing and integrating ML capabilities : Building the ML capabilities that power the product.
• Customer guidance : Helping customers frame their engineering problems in terms our product can address, and guiding them through new ways of working.
• Diagnosing complex issues : When a customer's data goes into the product and something isn't right, you are the person who can unpick whether it's a data quality issue, unexpected model behaviour, a configuration problem, or a genuine bug.
• Shaping product direction : You sit at the intersection of what our researchers envision, what our customers actually need, and what is realistic to build and maintain in production.
• Codebase stewardship : Contributing to and maintaining a production codebase that interfaces with real test benches and simulation toolchains.

Senior Machine Learning Engineer / Data Scientist