FAQs
What is the main purpose of the Data Scientist Research and Analytics position?
The main purpose of the position is to contribute to methodological innovation in media measurement, develop new methodologies to measure audiences across platforms, and calibrate big data using internal and external panels.
What types of methodologies will I be developing in this role?
You will be developing new methodologies related to audience measurement, ensuring they are fit for purpose and work effectively across various platforms.
Will I be working independently or as part of a team?
You will be working autonomously while also participating in team projects and collaborating with cross-functional teams.
What kinds of analysis techniques will I be using?
You will be applying advanced analytics techniques and utilizing visualization tools to present key insights to stakeholders.
Is cloud computing involved in this role?
Yes, deploying data pipelines and models in a cloud environment is a key responsibility of the role.
What should I do if the methodologies are not functioning as intended?
You are expected to troubleshoot, diagnose, and resolve any issues to ensure that the methodologies are working properly.
What kind of documentation will I need to compile?
You will need to compile and deliver methodology documentation that outlines the developed methodologies and their applications.
How will I interact with stakeholders?
You will interact with stakeholders by providing technical and statistical insights into the data to support their decision-making processes.
What is expected of me during team projects and meetings?
You are expected to actively participate in team projects and staff meetings, contributing to discussions and collaboration.
Is there an expectation to gather information independently?
Yes, you are encouraged to proactively gather information as needed to work both independently and effectively with a team.