Data Science Manager (Remote)

Key Skills

Java Programming, Python Programming, SQL, R Programming, SAS

Job Description

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.

What is the role?

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

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.

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:
• Developing a product roadmap that includes data-driven methodology updates and corresponding client-focused impact analysis, quality controls, and documentation
• Leading data requirement definitions for new CTV data partners, identifying and addressing any customizations required
• 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?

• 5+ years of professional work experience in Statistics, Data Science, and/or related disciplines
• 2+ years of 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