Senior Data Scientist
United States
Nielsen
A global leader in audience insights, data and analytics, Nielsen shapes the future of media with accurate measurement of what people listen to and watch.What is the role?Our Data Science team is experimenting, testing, and driving major insights that impact both a global network of clients and Nielsen’s direction. Excited? Come join us!The Digital Innovation team builds and maintains mathematical, statistical, and machine learning models that measure the content and ads people interact with online. We ideate, test, implement, explain, and enhance these models to ensure that our measurements are the best in the rapidly changing digital landscape.
Who am I working with? / Why is this team cool?If you are passionate about clients, hungry to learn and want to drive change, join Nielsen Media’s Data Science team! Our Data Scientists use their deep understanding of the business context, evolving client needs, underlying data, and their data science skills to apply the latest methodologies and technologies to innovate across Nielsen’s product portfolio.
Why do I want to work here? As the arbiter of truth, Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what’s true, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth.
What will I do?
- Engineer predictive features for use in our current data modeling pipelines
- Independently develop custom Python and SQL code
- Provide research support that leads to the enhancement of existing methodologies or the creation of new methodologies
- Use git and cloud development tools extensively to iterate and improve data science workstreams
- Write well documented production level Python scripts and participate in code reviews
- Collaborate with our software engineers and product leaders as you integrate and test new or updated modules in production pipelines
- Create and manage multiple projects from beginning to end including analysis design, execution, summarization, and communication of results
- Identify gaps in data capture or data quality, and surface the value attached to filling those gaps.
- Perform deep dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents
- Serve as critical Data Science subject matter expert, initiate methodology discussions with relevant stakeholders, and provide final Data Science recommendations
Is this for me?
- Data Scientist with a degree in mathematics, statistics, computer science, engineering, machine learning, or related field and 3+ years of experience with the following:
- Building and maintaining Machine Learning or Deep Learning based methodologies
- Advanced coding in Python and SQL
- Contributor to production code processes in our open source-based pipeline platform
- Working in cloud-based environments, ideally AWS
- Use of git/code versioning and code reviews
Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.
#LI-SF1#LI-Remote
Tags: AWS Computer Science Data quality Deep Learning Engineering Git Machine Learning Mathematics ML models Open Source Pipelines Python Research SQL Statistics Streaming Testing
Perks/benefits: 401(k) matching Career development Flex vacation Health care Salary bonus
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