Python Programming, Regression Analysis, Data Mining, Linear regression, GIS, R Programming, Analytical Techniques, Design of Experiment
The Data Scientist will play a critical role in developing sample plans and weighting for large clients as well as supporting our core advertising research, measurement and reporting needs globally. The candidate will establish best practice methodologies while delivering services at one of the largest market research providers in the world. Candidates should have relevant experience in R/Python, statistical modeling, sampling, weighting, and ideally advertising measurement.
Required experience:
In this role you will:
This is an exciting role with a chance to support marquis clients and be a part of a talented team of data scientists and researchers in a fast-growing organization. In addition to skill and experience, we also look for applicants whose share our core values of collaboration, innovation, integrity and accountability.
BENEFITS:
Dynata is one of the world’s leading single providers of first-party data contributed by people who opt-in to member-based panels that the company manages and maintains. With a reach that encompasses 60+ million people globally and an extensive library of individual profile attributes collected through surveys, Dynata is the cornerstone for precise, trustworthy quality data. The company has built innovative data services and solutions around this core asset to bring the voice of the individual to the entire marketing spectrum, from market research to marketing and advertising. Dynata serves nearly 6,000 market research agencies, media and advertising agencies, consulting & investment firms and healthcare and corporate customers in the Americas, Europe, and Asia-Pacific.
Dynata, is a global online market research firm based in Plano, Texas and Shelton, Connecticut. Dynata is one of the world’s leading single providers of first-party data contributed by people who opt-in to member-based panels that the company manages and maintains. With a reach that encompasses 60+ million people globally and an extensive library of individual profile attributes collected through surveys.