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An established industry player is seeking a Data Scientist to join their Television Analytics team. This role involves working with large datasets to develop algorithms and tools for cross-platform measurement. You will collaborate with various teams to ensure data integrity and provide insights that influence business decisions. This innovative firm values creativity and problem-solving, offering a dynamic work environment where you can thrive. If you are passionate about data and eager to make a significant impact in the media measurement landscape, this opportunity is perfect for you.
Comscore is a media measurement company providing multiscreen reporting and analytics with cutting-edge technology to serve clients in the entertainment, media, retail, and advertising industries. Comscore's Data Science team helps design the intelligent engines that power the company's advanced Media Ratings, Movies & TV Everywhere measurement systems. Through our research, Comscore builds projections that make the massive amount of raw data we take in from screens across the world meaningful and useful for our clients.
The Data Scientist position is part of the Television Analytics team that provides internal services for building and maintaining the data science methodologies comprising Comscore’s projection system for US national television, local television, and cross-platform measurement services. This position is expected to have a particularly significant role in Comscore’s measurement of Linear Television for both national and local television. In this role, the Data Scientist will work closely with other members of the Television Analytics team and the Technology organization to work with large amounts of tune-level linear television data to build algorithms, tools, and custom projection solutions for precise cross-platform measurement using large-scale data sets in a fast-paced business environment. The Data Scientist will investigate and diagnose potential internally- and externally-facing issues, and develop hypotheses, strategies, visualizations, reports, and recommendations for various data science purposes.
Duties & Responsibilities:
Qualifications:
Shift:
The regular hours for this shift will be 2 pm -- 11 pm IST. Occasionally, earlier or later hours may be required for meetings with teams in other parts of the world. Additionally, for the first 4-6 weeks of onboarding and training, US Eastern time hours (IST -9:30) may be required.
Benefits:
About Comscore:
At Comscore, we’re pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, we’re united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you’re motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, we’d love to hear from you.
Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industry’s emerging, third-party source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com.
Comscore is committed to creating an inclusive culture, encouraging diversity.