Lead Data Scientist at Nielsen

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: Lead Data Scientist
Division:  Data Science
Location: United States: Remote

What is the role?
Streaming is exploding right now! As a Lead Data Scientist on the Connected TV Measurement team, you will have a front row seat for all of the action. 

What will I do?
In this role, you will be working to develop methodologies to enhance Nielsen’s Connected TV measurement.  Your primary responsibilities include: 
Drive the development, testing, and implementation of new measurement methodologies, including client-focused impact assessments . Build and deploy production-ready automated methodologies into functional modules, including unit tests and quality control checks while incorporating CI/CD workflows. Identify root causes and solve any bugs or quality escapes. Ensure detailed documentation of new methodologies, research findings, and best practices. Ensure product quality, stability, and scalability by facilitating code reviews. Explaining complex model-related concepts in simple terms to non-technical internal and external audiences . Mentor and provide oversight to junior associates while serving as an example by sharing relevant best practices.

About the team
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.

Despite being spread across multiple Nielsen offices, our team values collaboration, teamwork, and having fun at work!  We hold each other accountable for creating stable, scalable, and well-documented solutions.  

Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!


Requirement's

5+ years of professional work experience in Statistics, Data Science, Computer Science, and/or related disciplines
Experience with developing and automating methodologies 
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
Experience with ETL frameworks like Airflow 
Familiarity with DevOps tools and CI/CD workflows including Git
Bachelor's degree in Statistics, Data Science, Computer Science or other related field
Organization and clear communication



Nice to Have 

Advanced degree in Statistics, Data Science, Computer Science or other related field
Experience working in cloud-based environments such as Azure, AWS, or GCP
Domain expertise in Digital or Television measurement


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