Data Scientist
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Job Description
Data Scientist developing statistical and machine learning models for Nielsen’s media audience measurement business. Building production data pipelines and delivering client-focused analytics.
Responsibilities:
- Research, design, develop, implement and test econometric, statistical, optimization and machine learning models
- Develop forecasting, modeling and code supporting PPM Wearables audience measurement production processes
- Develop data pipelines, execute analyses and summarize results
- Collaborate with stakeholders to provide clear data-driven solutions and recommendations
- Gain expertise in PPM sampling methodology, audience measurement and panel management strategies
- Query large relational databases for analyses and requests
- Perform complex data analysis and visualizations using Python, Tableau, R and similar tools
- Oversee, maintain and evolve data algorithms for PPM sample methodology in a time-critical production environment
- Maintain and update departmental procedures, checklists and metrics
- Participate in interdepartmental teams and critical projects, including requirements writing, software development and testing
- Respond to internal and external client requests with data-driven solutions
- Incorporate quality checks to detect and correct errors in production processing and analysis
- Facilitate code reviews and promote modular code, unit tests and CI/CD workflows to ensure product quality, stability and scalability
Requirements:
- Bachelor’s Degree or higher in Mathematics, Statistics, Computer Science, Data Science, Data Engineering or a related field
- 3+ years of professional work experience in Statistics, Data Science, and/or related disciplines
- 3+ years of experience manipulating, analyzing and interpreting complex data sources
- 3+ years of experience programming in Python, PySpark and SQL for data pipeline development
- 3+ years of experience with data visualization using Tableau and/or similar tools
- Experience working in cloud-based environments such as AWS
- Experience with DevOps tools, code management and CI/CD workflows using GitLab or similar tools
- Project management ability, including prioritizing multiple assignments
- Ability to communicate clearly and handle multiple competing priorities in a fast-paced environment
- Readiness to explore new solutions and rapidly iterate based on customer feedback
- Strategic thinking and understanding of data insights’ impact on product and business objectives
- Exceptional problem-solving skills
- Ability to solve problems independently and within cross-functional teams
- Nice to have: working knowledge of ANOVA, Chi-squared, correlation, regression and Student t-test
- Nice to have: expertise querying large datasets with SQL and working with Oracle/Netezza/Data Warehouse and Data Lake structures
Benefits:
- Remote work opportunity
- Equal opportunities and diverse, inclusive workplace
- Work on impactful media measurement projects with global teams
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