Sr. 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

Sr. Data Scientist - 83028

Data Science - USA Chicago, Illinois

What is the role?

Streaming is exploding right now! As a Senior Data Scientist on the Connected TV Measurement team, you’ll have a front row seat for all of the action.

What will I do?

In this role, you’ll be working to expand and enhance Nielsen’s Connected TV measurement coverage. You will:

• Conduct detailed data analysis for new CTV data partners, identifying and addressing any customizations required
• Provide data-driven recommendations for promoting enhancements to production, including assisting with client-focused impact analysis
• Translating new methodologies into functional modules, including unit tests and quality control checks
• Identify root causes and solve any bugs or quality escapes
• Ensure detailed documentation of new methodologies, research findings, and best practices
• Work with cross-functional internal stakeholders to push methodology updates into product roadmap
• Create and manage projects from beginning to end including analysis design, execution and summarization of results
• Mentor and provide oversight to junior associates while serving as an example by sharing relevant best practices
• Explain complex model-related concepts in simple terms to non-technical audiences

Is this for me?

This role requires:

• 2-3+ years of professional work experience in Statistics, Data Science, and/or related disciplines
• 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
• Bachelor's degree in Statistics, Data Science, Computer Science or other related field
• Well organized, self-motivated 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 with implementing and managing software in cloud-based environments such as Azure, AWS, or GCP
• Familiarity with DevOps tools and CI/CD workflows including Git
• Experience with ETL frameworks like Airflow 
• Domain expertise in Digital or Television measurement