Principal Data Scientist

Key Skills

AIMMS, Analytical and Problem solving, Apache Airflow, AWS, Azure, Continuous Integration & Continuous Delivery - CI/CD, Data Mining, Data science techniques, Database testing, DevOps, ETL frameworks, Git, Google Cloud Platform (GCP), Java Programming, Machine learning techniques, Presto, PyMC3, Python Programming, PyTorch, R Programming, Scikit-learn, SPARK Programming, SQL, VR/AR frameworks

Job Description

The Core Audio Panel team within the Data Science organization focuses on delivering and enhancing Nielsen’s Audio PPM measurement product. Our team develops new techniques and processes to better meet the needs of our Audio clients to measure audiences, working at the intersection of Data Science, Technology, Product Delivery and Operations. Despite being spread geographically, our team values collaboration, teamwork, and having fun at work! We hold each other accountable for creating stable, scalable, and well-documented solutions.

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, inquisitive colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!

What will I do?

• In this role, you will be working on the forecasting, modeling and code which drive the key production processes of the Core Audio Panel team.

Your primary responsibilities include: 

• Research, design, develop, implement and test econometric, statistical, optimization and machine learning models.
• Design, write and test modules for Nielsen analytics platforms using Python, R, SQL and/or Spark.
• Utilize advanced computational/statistics libraries including Spark MLlib, Scikit-learn, SciPy, Stats
• Models or R. Collaborate with cross functional Data Science, Product, and Technology teams to integrate best practices from across the organization
• Provide leadership and guidance for the Core Audio Panel team in the of adoption of new tools and technologies to improve our core capabilities
• Execute and refine the roadmap to upgrade the modeling/forecasting/control functions of the team to improve upon the core service KPI’s
• Gain a deep understanding of the Audio PPM (Portable People Meter) methodology supported by the team
• Ensure product quality, stability, and scalability by facilitating code reviews and driving best practices like modular code, unit tests, and incorporating CI/CD workflows 
• Explain complex data science (e.g. 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, with focus on delivering analytics software solutions in a production environment
• Expertise with relational and distributed database systems with expertise in tools such as Spark, Presto, and other SQL-based querying engines
• Expertise in coding and testing of analytical modules using Python, SQL and Spark.
• Expertise in at least one statistical software or machine learning package, such as R or Scikit-learn
• Expertise with optimization techniques and tools such as AIMMS, Gurobi, etc
• Expertise with DevOps tools and CI/CD workflows including Git
• Expertise with sophisticated data mining forecasting & modeling solutions and the tools that support them such as Scikit-learn, PyTorch, and PyMC3
• Well-organized, clear communication, and an ability to handle multiple competing priorities in a fast-paced environment
• Graduate/Post Graduate degree in Statistics, Economics, Applied Mathematics, Computer Science, Engineering or other Quantitative field of study
• Exceptional problem solving skills. Abilities to solve problems independently and within a cross-functional team to resolve any hurdles in the projects
• Critical thinking skills to evaluate results in order to make timely decisions
• Mentor and provide guidance to other data scientists 

Nice to have:

• Experience working in cloud-based environments such as Azure, AWS, or GCP
• Experience with ETL frameworks like Airflow Domain expertise in survey sampling and/or audience measurement