Sr Data Scientist

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: Senior Data ScientistDivision:  Data ScienceLocation: United States: New York City, Chicago, Tampa
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. 

Is this for me?

• Data Scientist with a degree in mathematics, statistics, computer science, engineering, machine learning, or related field
• 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

What will I do?

• Develop and apply machine learning and predictive models to enhance digital measurement
• Manage projects through all phases, including data quality, algorithm/feature development, predictive modeling, and visualization.
• Enhance and evolve existing solutions to meet changing business needs with agility.
• Independently develop custom production level Python and SQL code
• Use git and cloud development tools extensively to iterate and improve data science workstreams
• Collaborate with our software engineers and product leaders as you integrate and test new or updated modules in production pipelines
• 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