Data Scientist

What You'll Do:  

• Effectively handle large data files in the course of developing and implementing solutions 

• Precisely execute multiple analytic projects, each involving a great number of steps and analytic decisions 

• Concisely summarize real-world implications of findings from custom projects and the value proposition of real-world offerings 

• Interpret results, present findings and recommend alternative solutions to software and business decision makers 

• Translate statistical modeling results into measures of business impact 

• Interface with clients to aid in the qualification of custom analytical solutions 

• Manage expectations and coordinate project delivery with internal team 

• Play a key role in the development and adaptation of statistical methodologies, including traditional media research methodologies, for the development, maintenance and improvement of data products 

• Develop statistical tools to facilitate and improve data regression, manipulation, and analysis 

• Test and measure the effectiveness of new statistical approaches and process improvements 

• Assist Custom Solutions team in new product development.  Execute prototyping of new product ideas 

• Manage analytic projects 

What You'll Need:  

• 2- 4 years related experience in traditional, direct, or digital media research; understand traditional (TV) media math and targeting concepts

• Ph.D. or Masters (M.S.) in Statistics, Decision Sciences, Economics, Physics, Systems Engineering, or Mathematics preferred

• Highly competent in quantitative and qualitative analysis, regression, data manipulation, and critical thinking. 

• Intrinsic ability to look at data and identify patterns, problems, or analysis opportunities

• Ability to distill large amounts of information into key findings

• Excellent written, verbal, and presentation skills and an ability to explain complex systems

• Extensive background in data mining applications, including proven programming and debugging ability in SAS, R, Python or similar language.

• Experience analyzing person-level or household-level marketing data and efficiently handling large data files

• Extensive experience with relational DB data access including writing and debugging SQL

• Proficient in navigating and scripting on *NIX systems

• Experience with wide range of market research methodologies within and beyond media measurement: regression, time series, SEM, marketing mix, Bayesian methods

• Experience with experimental design, hypothesis testing, power calculations for statistical tests  

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.

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