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. Job Summary The Connected TV Measurement team within the Data Science organization focuses on expanding and enhancing Nielsen’s Connected TV ad measurement product. Our team develops new methodologies to measure audiences across all types of connected devices and integrates new data assets into Nielsen’s existing methodologies to expand the data delivered to clients. This Senior Data Scientist role provides an opportunity to contribute to methodological innovation in the exciting and fast changing world of media measurement. This position will support the implementation of new methodologies and improve existing ones to most optimally measure audiences across Connected TV platforms. This is an ideal position for a data scientist/engineer to hone their technical leadership skills, while overseeing the development and deployment of cutting edge methodologies in innovative products. In this role, you will work closely with other members of the team to optimize the current codebase, create simulation environments and pipelines, and conduct research that will enhance the utility of our data. In addition, you will have the opportunity to grow your data science skills (coding, statistics) through all aspects of the data science workflow and data product lifecycle. Responsibilities may include the following: methodology development, analysis, code optimization, automation, creation of robust/scalable code packages, technical oversight, and mentoring.
Responsibilities
In this role, you’ll be working creatively to expand and enhance Nielsen’s Connected TV measurement coverage. You will:
Build new methods to provide age and gender measurement leveraging brand new data sources.
Conduct detailed data analysis and quality assessment of potential CTV data partners.
Translate new methodologies into functional modules, including unit tests and quality control checks.
Provide data-driven recommendations for promoting enhancements to production, including client-focused impact analysis.
Identify root causes and solve any bugs or quality escapes.
Ensure detailed documentation of new methodologies, research findings, and best practices.
Work with cross-functional internal stakeholders to push methodology updates into product roadmap.
Create and manage projects from beginning to end including analysis design, execution and summarization of results.
Mentor and provide oversight to junior associates while serving as an example by sharing relevant best practices.
Explain complex model-related concepts in simple terms to non-technical audiences/
Skills Required
This role requires:
Bachelor’s degree in a quantitative programming field, such as computer science, data science, engineering, statistics, mathematics, biological/physical sciences, etc.
2-3+ years of professional work experience in Statistics, Data Science, and/or related disciplines.
Mastery of Python.
Experience with sophisticated data mining & modeling solutions and the tools that support them such as Scikit-learn, PyTorch, and PyMC3.
Experience with relational and distributed database systems with expertise in tools such as Spark, Presto, and other SQL-based querying engines.
Familiarity with DevOps tools and CI/CD workflows including Git.
Bachelor's degree in Statistics, Data Science, Computer Science or other related field.
Well organized, self-motivated and an ability to handle multiple competing priorities in a fast-paced environment.
Skills Preferred
Advanced degree in Statistics, Data Science, Computer Science or other related field.
Experience with implementing and managing software in cloud-based environments such as Azure, AWS, or GCP.
Experience with ETL frameworks like Airflow.
Domain expertise in Digital or Television measurement
