Collaborate with stakeholders to define project goals, gather requirements, and identify data sources.
Conduct exploratory data analysis and provide rapid iterations of analysis to refine posed problem and identify potential solutions.
Select and develop the appropriate machine learning algorithm /statistical model to address a particular business question. Interpret and communicate analytical findings and insights to technical and non-technical stakeholders.
Collaborate with Data/ML engineers to integrate models and algorithms into production.
Contribute to the development of data science infrastructure, tools, and frameworks for efficient data analysis, experimentation, and model deployment.
Research industry trends and identify industry best practices to develop best practice within the Data & Analytics team.