Expires soon Nielsen

Data Science Associate - Emerging Technologist Program - Fulltime 2019

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Job description

Date: Aug 30, 2018

Location: Offsite, NY, US

Company: Nielsen

Data Science Associate - Emerging Technologist Program - Fulltime 2019 - 24420

Data Science - USA Offsite, Offsite

Jumpstart Your Career in Data Science with Nielsen’s Emerging Technologist Program!

Today, there were over 500 million Tweets, over 85% of U.S. Consumers used their mobile device while watching TV, and within the next four years, women will control $28 Trillion in annual consumer spending. At Nielsen, you will help analyze and understand what all this means to our consumers, and how it truly influences and drives consumer behavior in what people watch and what people buy .

Are You Ready to Join the Team?

New Emerging Technologist Program (ETP) Associates in the Data Science track are challenged with:

• High-priority rotations in critical Data Science areas

• Intensive technical training

• Mentoring and networking opportunities

Nielsen’s Emerging Technologist Program offers a powerful and unique experience for top Data Science undergraduates interested in pursuing a technical career with the world’s leading provider of global marketing information, consumer insights, and business media. Participants in this program enjoy a diverse and challenging set of rotational assignments, focused technical and business training, mentoring, coaching and unparalleled networking opportunities. Participants are well prepared to take on roles that will accelerate their career and drive innovation at Nielsen.

Develop Your Future with Nielsen

The Emerging Technologist Program develops future Nielsen Data Science experts who can innovate and drive solutions for Nielsen’s internal and external clients. Associates take on roles of increasing responsibility as they participate in exciting development experiences.Our next program begins July 2019.

Rotational Assignments

The program includes two one year rotations. These assignments provide challenging on-the-job learning and development opportunities. Associates work on high priority assignments in various business functions

Examples in Data Science include:

· 
Global Research – Work with a global team to develop methodologies for integrating data from consumer, media and other sources to develop country-specific insights on consumer attitudes and behaviors.

· 
Process Optimization – Propose approaches for using emerging technologies to enhance and standardize data science capabilities across a range of Nielsen client products.

· 
Deepen Analytical Skills – Apply advanced analytic techniques to derive new insights for clients on consumer behavior and media use to help “tell a story” or answer an issue of client concern.

· 
Measurement Innovation – Partner with leading data scientists, technology experts and engineers to develop new ways of assessing and measuring a range of consumer attitudes and behaviors to drive new client insights.

A day in the life of an associate may include: utilizing tools such as Python, Tableau, SAS, etc. to perform complex data analysis, conducting analyses to support innovation initiatives, working with cross-functional teams to productionalize, validate, and optimize methodologies, summarizing, documenting, and communicating research findings to audiences of varying levels of subject matter expertise.

Selection Criteria:

· 
Intellectual curiosity and intense passion for taking on critical challenges;

· 
Hand’s-on experience with new technologies, data science approaches, or advance computing in academic, work, and/or extracurricular forums (e.g., hack-a-thons, personal side projects, etc.)

· 
Minimum overall GPA of 3.0

· 
B.S. or Master’s in:

· 
Statistics

· 
Math

· 
Economics

· 
Market Research

· 
Research Methodology

· 
Data Science

· 
Quantitative Social Science

· 
Computer Science

· 
Computer Engineering

· 
Software Engineering

· 
Fewer than two years full-time work experience

· 
Willingness to relocate to New York, NY; Chicago, IL; or Tampa, FL

· 
Permanent US work authorization required

· 
Anticipated graduation: Associates – Fall 2018 and/or Spring 2019

In addition to meeting the above requirements, candidates should also meet all or most of the following:

· 
Experience preferred in one stat package (R, Stata, SAS) as well as with survey, statistical, or business analytics

· 
Familiarity with distributed computing techniques and related software (Python, MapReduce, etc.)

· 
Drive for technical excellence and initiative

· 
Intellectual curiosity, creativity and passion to deliver new solutions for the next generation of technology

· 
Ability to work both independently and as part of a global, virtual team

· 
Desire to be part of a global company that gives back to communities

· 
A passion for data and analytics

· 
An entrepreneurial mindset

EOE/AA/M/F/D/V

About Nielsen:

Nielsen N.V. (NYSE: NLSN) is a global performance management company that provides a comprehensive understanding of what consumers Watch and Buy. Nielsen’s Watch segment provides media and advertising clients with Total Audience measurement services across all devices where content — video, audio, and text — is consumed. The Buy segment offers consumer packaged goods manufacturers and retailers the industry’s only global view of retail performance measurement.

By integrating information from its Watch and Buy segments and other data sources, Nielsen provides its clients with both world-class measurement as well as analytics that help improve performance. Nielsen, an S&P 500 company, has operations in over 100 countries that cover more than 90 percent of the world’s population. For more information, visit www.nielsen.com

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.

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