Lead Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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