Data Scientist

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 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 support investigations or investigate data issues, and develop hypotheses, strategies, visualizations, reports, and recommendations for various data science purposes.

Duties & Responsibilities:

• Operate inside a big data environment to generate, analyze, and deliver data driven insights.
• Interpret results, present findings, and recommend alternative solutions to research management and business decision makers.
• Responsible for the timely and error-free operation, production and delivery of syndicated product data.
• Develop analytical approaches to answer high-level questions and develop insightful recommendations.
• Support the research and investigation of client-reported inquiries.
• Collaborate with Analytics, Engineering, and Product teams to meet and support business goals.
• Develop and support routine analytical methods; proactively seek out potential solutions to issues.
• Provide suggestions to advance and improve methodologies.
• Provide and support complex troubleshooting of analytical methods.

Qualifications:

• A degree in a quantitatively focused discipline (i.e., Statistics, Economics, Computer Science, etc.).
• 1-4 years of experience in the synthesis of research findings and making data-driven arguments.
• Expertise at querying, cleaning, and transforming data for analytics or visualization using SQL, Spark, R/Python, etc.
• Ability to learn complex methodologies and draw on your creative problem-solving skills to achieve results.
• Ability to convey complex analytical approaches and findings.
• Aptitude to identify patterns, problems, or analysis opportunities.
• Ability to multi-task and work with manager to prioritize efficiently to meet deadlines.
• Experience with Media Rating Council (MRC) is a plus.

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.

EEO Statement: We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, disability status, sexual orientation, gender identity, age, protected veteran status or any other characteristic protected by law.

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