Sr. Data Scientist

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.
Sr. Data ScientistLocation: Columbia, MD
Job Responsibilities Works as an integral member of the Core Audio Transformation Diary team in a time-critical production environment.Responsible for a set of recurring operational tasks, for meeting stringent methodological requirements and meeting the highest of customer expectations.This includes support with writing new software, testing and end-user requirements. Maintains and updates documented departmental procedures, checklists and metrics comprehensively and on a timely basis.Implements prevention and detection controls to ensure data integrity.Able to effectively communicate complex ideas to both technical and non-technical audiences.Develops, tests, and implements high quality, modular python code that can be seamlessly integrated into an existing production system.Develops and implements machine learning solutions to leverage big data from internal and external sources.Queries data from large relational databases/Data warehouse/Data Lakes for various analyses and/or requests.Works closely with internal customers and IT personnel to improve current processes and engineer new methods.  This includes support with writing new software, testing and end-user requirements.Detects, troubleshoots, and resolves data or system anomalies to support uninterrupted production.May work directly with sample vendors to acquire sample.

Role Requirements

• Undergraduate or graduate degree in mathematics, statistics, engineering, computer science, economics, business or fields that employ rigorous data analysis.
• Proficiency with Python, R Experience utilizing GitLab and/or Git or similar to manage code development
• Strong verbal, presentation, and written skills
• Strong critical thinking and creative problem solving skills
• Strong planning and organizational skills
• Expertise in querying large datasets with SQL and of working with Oracle, Netezza, Data Warehouse and Data Lake data structures
• Proficiency in MS Office suite (Excel, Access, PowerPoint and Word) and/or Google Office Apps (Sheets, Docs, Slides, Gmail)
• Expertise with Tableau, Spotfire, or other data visualization software and techniques
• Proficiency with statistical tests and procedures such as Regression, ANOVA, Chi-squared, Correlation, and Student t-test

Preferred

• Knowledge of survey sampling methodologies
• Knowledge of Apache Spark ecosystem, Databricks, and AWS3+ years’ experience in at least one of the following fields: data science, data analysis, engineering, accounting, business administration/operations, consulting,  finance, logistics/supply chain, management information systems, or operations management/research