Data Scientist at Nielsen

Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are. 


Title: Data Scientist - (Remote) 


Division:  Data Science


Where will I be?
We are a growing workforce integrated throughout the US and Internationally, though this particular role will be based in the United States. Working hours? We encourage working similar hours as the rest of your team to ensure overlap needed for collaboration, though are flexible based on individual needs. Can I work remotely? Of course! While many associates are located near Nielsen offices in New York, Chicago and Tampa, we leverage collaboration tools like Google Meet and Slack that enable us to work remotely. 

What is the role?
We are looking to add a Data Scientist to our team of innovative Panel and Meter researchers. Our areas of expertise include researching hardware, software, quality controls and business rule changes that will improve the accuracy of our data reporting. You will learn and become an expert in Nielsen’s TV panel data, with a focus on Meter hardware and software used for data collection and crediting. You will design small and medium sized research projects based on project goals. You will then execute the research and code development based on the defined plans and use the results to recommend enhancements for production methodologies. You will also have opportunities to present research to key stakeholders and collect/implement feedback as necessary, and partner with cross-functional stakeholders to deploy their recommended methodologies into production systems. Excited? Come join us!


What will I do? 

Learn and become an expert in TV Audience Measurement, with a focus on Meter hardware and software used for data collection and crediting. 
Design, execute and summarize small size research projects. Support medium and large scale projects.
Identify, clean, and summarize data, potentially from disparate and complex data sources, to facilitate high quality analyses. 
Develop efficient code and share for analysis.
Incorporate quality checks to proactively detect and correct for errors throughout analysis. 
Provide recommendations based on research findings.
Document research plans, results, and conclusions. Share them with senior team members as needed.
Support senior team members in collaboration with department stakeholders (Engineering, Data Science, Technology, etc.). This includes providing status updates, developing timelines, sharing data, executing tests, presenting results, etc.



Is this for me? 

You have a strong background in Mathematics, Statistics, Computer Science, Engineering or a related field.
You welcome new challenges and are comfortable diving into the unknown with the goal of making sense of what’s noise and what isn’t.
You bring innovative ideas to the table and are comfortable challenging existing methods and processes. 
You have 3+ years of experience with the following: Manipulating, analyzing and interpreting complex data sources to tell a story from data through analyses. Programming in Python and SQL. Knowledge of BI tools such as Tableau and Spotfire.
You have working knowledge of cloud-based infrastructures and tools such as AWS and Gitlab and are willing to continuously learn more in this space


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