As a data-driven organization, we are seeking a skilled Senior Data Scientist Leader to drive our Machine Learning (ML) strategy and infrastructure.
This role will play a key part in shaping our approach to ML, working closely with cross-functional teams to develop and implement effective solutions that deliver value for our customers.
* Design and develop our ML Operations (MLOps) infrastructure and practices to support the efficient transition of machine learning models into production.
* Monitor and maintain the health of new and existing ML models post deployment, proactively raising awareness of any risks to model outputs and/or their interpretation.
* Implement modern code development and MLOps strategies in collaboration with data science and engineering teams to identify, target, and resolve ML model performance issues throughout their lifecycle.
* Develop operating procedures, work instructions, and high-level designs of ML pipelines and architectures to document our work effectively.
* Collaborate with third-party partners and software providers to improve, implement, and support novel Machine Learning solutions.
* Raise awareness of best practices for MLOps, sharing knowledge and expertise with individuals across the data and software teams.
* Work with data science, data engineering, and software engineering teams to drive cross-functional visibility and reduce technical debt.
* Design and implement ML infrastructure to support the deployment and monitoring of ML models in an efficient and cost-effective manner.
* Develop an MLOps strategy aligned to industry best practice and existing DevOps processes.