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By | July 21, 2022

Job Responsibilities : Sr. Data Scientist (Remote)

Salary : 90000 per Year

Company : Nielsen

Location : Remote US

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.

Senior Data Scientist – (Remote)
Division: Data Science Panel and Meter Methods

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 DC 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 Senior Data Scientist to our team of innovative Panel and Meter researchers. Our areas of expertise include designing and testing the panel methodology supporting Nielsen’s TV and Radio ratings and understanding and measuring how hardware and software design impacts our key metrics. You will learn and become an expert in Nielsen’s TV and Radio panel data with a focus on Nielsen’s PPM for TV methodology and companion app. 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 and Radio Audience Measurement with a focus on the methodology behind the services and how it impacts our data.
    • 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 Product etc.). This includes providing status updates developing timelines sharing data executing tests presenting results etc.

Is this for me?

    • You have a Master’s degree or PhD in a Social or Behavioral/Social Sciences field such as Psychology Research Methodology Statistics/Sampling or related field. You have 3+ years of experience with the following:
    • Designing conducting and analyzing quantitative research projects
    • 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 an interest in qualitative and UX testing.
    • You have an aptitude for creativity and ability and a desire to explore opportunities for new research innovations.
    • 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 have working knowledge of cloud-based infrastructures and tools such as AWS and Gitlab and are willing to continuously learn more in this space.
    • You have experience with wearable and/or mobile app technologies.
    • You have excellent communication skills and are able to explain complex research concepts simplistically.
    • You are a collaborative team player who is ready to build strong team relationships remotely
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