Data Scientist - Data Engineer - 9780
This Data Scientist position will be part of our TV Analytics team within the Data Science Watch Product organization. The purpose is to develop our data pipeline and software to support custom and recurring analysis.
Support analyses for Data Science teams including custom requests, client inquiries, impact of changing methodologies, and standards and best practices.
Learn and become an expert in Local TV Nielsen knowledge, with a focus on weighting and computations and new methodologies.
Learn and become an expert in how big data flows through Nielsen systems in order to create reliable data views that will feed into client inquiry processes.
Work with cross-functional teams to implement and validate enhanced audience measurement methodologies.
Respond to client inquiries: Examine analysis specifications for completeness, determine how to execute the analysis with available data, modify specifications as needed, provide an estimated delivery date, and accurately deliver analyses on time with a summary of the key insights.
Convert existing SAS or C code to Python code and perform quality tests.
Independently write custom Python and SQL code.
Key tasks include – but are not limited to – trend analyses, identifying methodological and process improvements, representation/ sampling, bias reduction, indirect estimation, data integration, automation, generalization, harmonization as well as working with different data sources.
Pro-actively gather information, as needed, to work independently and with a team.
Support in detecting and addressing quality escapes.
Key tasks include – but are not limited to – data integration, automation, examining large volumes of data, identifying trends and being able to understand the methodology to be able to explain said trends, and identifying methodological and process improvements. Other project areas may include representation/sampling, bias reduction, and indirect estimation.