Senior Data Scientist
Job Summary
Job Description
As a Senior Data Scientist at Nielsen, you will become an expert in audience measurement, focusing on digital meter technology for data collection and crediting. Key responsibilities include designing analysis plans, developing data pipelines, executing analyses, and summarizing results. You'll work with diverse data sources, create visualizations, develop efficient code, implement quality checks, and provide data-driven recommendations. Collaboration with Engineering, Data Science, and Technology teams is crucial, involving status updates, timeline development, data sharing, testing, and presentations to meet business needs. The role involves expertise in Nielsen's Panel data and requires proficiency in Python, PySpark, SQL, and Tableau within cloud-based environments like AWS.
Must have:
- Expertise in Audience Measurement
- Proficiency in Python, PySpark, SQL
- Data pipeline development
- Data analysis and visualization
- Collaboration and communication skills
6 skills required
Job Details
At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.
Nielsen measures the media-consumption habits of homes globally. Our data paints a rich portrait of the audience in those markets we measure. As a pioneer and industry leader in audience measurement for more than half a century, we take pride in our technology and processes, and we are constantly searching for new ways to advance our culture of innovation and growth.
Our areas of expertise include researching hardware, software, quality controls and business rule changes that will improve the accuracy of our data reporting.
In this role, you will learn and become an expert in Nielsen’s Panel data, with a focus on Meter hardware and software used for data collection and crediting. You will design analysis plans, develop underlying data pipelines, execute analyses and summarize results. You will collaborate with stakeholders across Data Science, Engineering, Product and Technology teams to provide clear data-driven recommendations based on research findings.
Responsibilities
- Learn and become an expert in Audience Measurement, with a focus on digital meter technology used for data collection and crediting.
- Design analysis plans, develop underlying data pipelines, execute analyses and summarize results.
- Identify, clean, and summarize data, potentially from disparate and complex data sources, to facilitate high quality analyses.
- Create simple, meaningful visualizations to help support data analysis and stakeholder communications
- Develop and share efficient code used for analyses.
- Incorporate quality checks to proactively detect and correct for errors throughout analysis.
- Provide clear data-driven recommendations based on research findings.
- Collaborate with department stakeholders (Engineering, Data Science, Technology, etc.). This includes providing status updates, developing timelines, sharing data, executing tests, presenting results, etc to ensure business needs are met.
Key Skills
- Bachelor’s Degree or higher in Mathematics, Statistics, Computer Science, Data Science, Data Engineering or a related field.
- 4+ years of experience with the following:
- Manipulating, analyzing and interpreting complex data sources to tell a story from data through analyses
- Programming in Python, PySpark and SQL for data pipeline development used to support analytics
- Trending and visualizing data within Tableau
- Experience working in cloud-based environments such as AWS
- Project management including ability to prioritize multiple assignments
- Able to communicate effectively both orally and in writing
- Embraces innovation with a readiness to explore new solutions and a commitment to rapid iteration based on customer feedback
- Demonstrates strategic thinking, understanding the broader impact of data insights on product and business objectives
Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.
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