Data Research Engineer - Remote

Apply for this position Please mention DailyRemote when applying
Posted 5 days ago United States Salary undisclosed
Before you apply - make sure the job is legit.

Attempting to apply for jobs might take you off this site to a different website not owned by us. Any consequence as a result for attempting to apply for jobs is strictly at your own risk and we assume no liability.

Job Description

Nielsen Media would not function without our Technology teams! We are catalysts for delivery quality, on-time, reliable measurements to clients, and we are cultivators, growing our employees through education, skill building and experiences. Around the globe, our Technology teams are relentless in our pursuit of superior analytics, technology, process and support.

The Meter Analytics & Field Test Center of Excellence within Nielsen's Engineering group is currently looking for highly technical individuals with a penchant for Machine Learning! This highly collaborative team covers all aspects of data analysis for Engineering including television and audio measurement of media consumption. We seek out top talent that desire highly demanding, fast-paced and complex data problems. We strive to assemble a world class team focused on Big Data Analytics and Artificial Intelligence(AI). Our employees are proven leaders with great communication skills who are highly sought after for assistance in designing data solutions. These individuals are masters at working within both on-prem and cloud based systems and are not afraid to tackle any form of data extraction required to perform their tasks. In addition, our group employs many different machine learning packages and methodologies to find the most optimal solution. We are looking for candidates who are very excited about honing their AI skills.

The Data Solution Developer will work to complete complex data analyzes to support the measurement of Global Engineering processes and products. This individual will collaborate with Engineering business leaders, Client Service Executives, Operations, Product Leadership and Data Science to define their solutions. They will also support data analysis requests from the Engineering Research & Development teams when prioritized. Their responsibilities include detailed coding for data extraction and analysis, visualization, statistical testing, correlation and machine learning algorithm development.

Job Responsibilities

Defines and leads all analyses to support Innovation initiatives, KPI development/implementation, standards and best practices.
Defines and conducts analyses to support Engineering product and process measurement across Television and Audio in the US and Internationally.
Manages multiple projects simultaneously.
Leads prototyping (what -ifs) and supporting pilot programs and proofs of concept for R&D purposes.
The primary areas include, but are not limited to, trend analyses, statistical analyses, algorithm development and machine learning.
Interacts with multiple data sources and gains proficiency in sandbox development to support complex data Insights.
Ensures documentation of the new methodologies and best practices around algorithms and machine learning solutions.
Supports R&D team white paper development where needed.
Submits patent applications for intellectual property for complex data solutions.
Works with cross-functional teams to design, implement, and test new measurement data solutions.
Designs and tests data collection methodologies to support data analyses.
Defines and leads the identification and implementation of methods and best practices to optimize cycle time and quality in completing data analyses.
Directly interacts with internal or external clients where needed to clearly understand needs and provide solutions for their consideration when appropriate.
Represents the Engineering COE in meetings and interactions with other Nielsen departments as required.
Represents Nielsen within academic and research councils where approved.

Role Requirements

Master's degree in Statistics, Data Science, Operations Research, Computer Science or Physics preferred.
Experience in trend analyses, multivariate statistics (parametric/ non-parametric), forecasting, smoothing.
Proficient in R or Python statistical packages especially PySpark and NumPy
Working knowledge in AWS or other cloud platforms
Knowledge in SQL, working with Algorithms, and large-scale databases.
Ability to manipulate, analyze and interpret large data sources
Experience with data visualization tools (e.g. Tableau, Spotfire)Experience in big data technologies and machine learning
Experience in high-level programming language in Hadoop environments(e.g. Spark)


By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms-from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth.

Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You'll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!

Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

Job Type: Regular

Primary Location: Oldsmar, Florida

Secondary Locations: FL - Tampa - Oldsmar, , ,

Travel: No