As a Data Scientist, you'll collaborate with international teams to develop and implement data-driven solutions. Your expertise in MLOps will be crucial for deploying and managing models effectively in production environments.
In this role, you'll work closely with teams of machine learning and software engineers to create impactful data solutions. Your primary focus will be on leveraging data to inform decisions and improve processes within the organization. You'll be expected to apply your knowledge of MLOps to ensure that models are effectively deployed and managed in production settings.
Your day-to-day responsibilities will include: • Collaborating with engineers to design and implement data models • Analyzing data to extract insights and inform business strategies • Managing the lifecycle of machine learning models from development to deployment
This position is ideal for someone with a strong background in data science and a passion for working in a collaborative environment. You should be comfortable with the technical aspects of model deployment and have a keen interest in improving data practices within the team. Strong analytical skills and the ability to communicate findings effectively will be key to your success in this role.
You'll be taken to the original listing on PNet to apply.