North America / United States / IL / Chicago

Data Science

#: 83213-en_US / 83213

Regular

Full-Time

Lead Data Scientist – 83213

Data Science – USA Chicago, Illinois 

 

What is the role?

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

 

What will I do?
In this role, you and your team will be working to expand and enhance Nielsen’s Connected TV measurement coverage.  Your primary responsibilities include: 

  • Leading data requirement definitions for new CTV data partners, identifying and addressing any customizations required
  • Developing a product roadmap that includes data-driven methodology updates and corresponding client-focused impact analysis, quality controls, and documentation
  • Ensure product quality, stability, and scalability by facilitating code reviews and driving best practices like modular code, unit tests, and incorporating CI/CD workflows 
  • Collaborating with cross functional Product and Technology teams to deliver on the product roadmap on schedule
  • Delegating workload across your team of Data Scientists to facilitate the growth of each individual team member
  • Explaining complex model-related concepts in simple terms to non-technical internal and external audiences 

 

Is this for me?

This role requires: 

  • 5+ years of professional work experience in Statistics, Data Science, and/or related disciplines
  • Demonstrated success managing technical individuals
  • 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
  • Organization, clear communication, and an ability to handle multiple competing priorities in a fast-paced environment

 

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
  • Experience with ETL frameworks like Airflow 
  • Domain expertise in Digital or Television measurement

 

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.  

 

#LI-SF1
 

 

ABOUT NIELSEN

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. 

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!  

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.

Job Type: Regular 

Primary Location:  Chicago,Illinois 

Secondary Locations: NY – New York City, MD – Columbia, , 

Travel:  No