Data Scientist
Job Description Summary.Job Description
comScore is a leading internet technology company that measures what people do as they navigate the digital world and turns that information into insights and actions for our clients to maximize the value of their digital investments.
The Data Scientist located in Madison, WI, provides internal services to building and maintaining the data science methodologies comprising comScore's projection system for national television, local television, OnDemand, and digital viewership in a cross-platform measurement service.
What You'll Do In This Role (Responsibilities):
Independently identify appropriate data science techniques and methodologies that will be used to support comScores cross-platform measurement products, and answer technical and business questions.
Build algorithms, tools, custom solutions, and new technologies from diverse and large-scale data sets to enhance comScores measurement products, or contribute to new products.
Maintain existing algorithms, tools, solutions, and methodologies contributing to comScores existing measurement products.
Build custom solutions to meet internal and client needs for cross-platform measurement.
Apply critical thinking to analyze process and data anomalies, field client inquiries, and diagnose problems and data issues. These tasks will include working with Software Engineers, Product Managers, Account Managers, Sales Managers, and Data Operations Analysts.
Summarize and visualize conclusions from large-scale data sets to support the decision making of internal business stakeholders using SAS, Excel, R, Python and other tools.
Manipulate, analyze, and validate large data sets using SAS and SQL analytical software, and extract quantitative and qualitative findings from large data sets.
What You Need to Qualify for This Role (Requirements):
Requires a BA/BS in Statistics, Mathematics, or related field; Masters or Ph.D. degree preferred.
2-4 years of relevant data science experience; comScore or other media measurement experience can be included.
Experience in building data science methodologies and custom data solutions for quantitative data measurement.
Experience in data analysis and problem solving with large amounts of data; strong knowledge of SAS and SQL programming preferred.
Experience with modern data science stacks such as Python (numpy, pandas, matplotlib, scikit-learn) and R (dplyr, ggplot2, caret, rmarkdown, & shiny) for data manipulation, data mining, statistical modelling, machine learning, data visualization and dynamic reporting preferred.
Experience with Unix-like operating systems and corresponding commands, utilities and shell scripting preferred.
Strong oral and written communication skills, including the ability to communicate findings to stakeholders and document project steps in detail.
Ability to work individually, as well as partner with small and large teams of other Data Scientists during all stages of projects, including planning and execution.
Ability to independently complete multiple simultaneous project tasks with little supervision.
About comScore: comScore, Inc. (OTC: SCOR) is a leading cross-platform measurement company that precisely measures audiences, brands and consumer behavior everywhere.
comScore completed its merger with Rentrak Corporation in January 2016, to create the new model for a dynamic, cross-platform world. Built on precision and innovation, our unmatched data footprint combines proprietary digital, TV and movie intelligence with vast demographic details to quantify consumers' multiscreen behavior at massive scale. This approach helps media companies monetize their complete audiences and allows marketers to reach these audiences more effectively. With more than 3,200 clients and global footprint in more than 75 countries, comScore is delivering the future of measurement. For more information on 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
LI-EB1
. Apply now!Estimated Salary: $20 to $28 per hour based on qualifications.
comScore is a leading internet technology company that measures what people do as they navigate the digital world and turns that information into insights and actions for our clients to maximize the value of their digital investments.
The Data Scientist located in Madison, WI, provides internal services to building and maintaining the data science methodologies comprising comScore's projection system for national television, local television, OnDemand, and digital viewership in a cross-platform measurement service.
What You'll Do In This Role (Responsibilities):
Independently identify appropriate data science techniques and methodologies that will be used to support comScores cross-platform measurement products, and answer technical and business questions.
Build algorithms, tools, custom solutions, and new technologies from diverse and large-scale data sets to enhance comScores measurement products, or contribute to new products.
Maintain existing algorithms, tools, solutions, and methodologies contributing to comScores existing measurement products.
Build custom solutions to meet internal and client needs for cross-platform measurement.
Apply critical thinking to analyze process and data anomalies, field client inquiries, and diagnose problems and data issues. These tasks will include working with Software Engineers, Product Managers, Account Managers, Sales Managers, and Data Operations Analysts.
Summarize and visualize conclusions from large-scale data sets to support the decision making of internal business stakeholders using SAS, Excel, R, Python and other tools.
Manipulate, analyze, and validate large data sets using SAS and SQL analytical software, and extract quantitative and qualitative findings from large data sets.
What You Need to Qualify for This Role (Requirements):
Requires a BA/BS in Statistics, Mathematics, or related field; Masters or Ph.D. degree preferred.
2-4 years of relevant data science experience; comScore or other media measurement experience can be included.
Experience in building data science methodologies and custom data solutions for quantitative data measurement.
Experience in data analysis and problem solving with large amounts of data; strong knowledge of SAS and SQL programming preferred.
Experience with modern data science stacks such as Python (numpy, pandas, matplotlib, scikit-learn) and R (dplyr, ggplot2, caret, rmarkdown, & shiny) for data manipulation, data mining, statistical modelling, machine learning, data visualization and dynamic reporting preferred.
Experience with Unix-like operating systems and corresponding commands, utilities and shell scripting preferred.
Strong oral and written communication skills, including the ability to communicate findings to stakeholders and document project steps in detail.
Ability to work individually, as well as partner with small and large teams of other Data Scientists during all stages of projects, including planning and execution.
Ability to independently complete multiple simultaneous project tasks with little supervision.
About comScore: comScore, Inc. (OTC: SCOR) is a leading cross-platform measurement company that precisely measures audiences, brands and consumer behavior everywhere.
comScore completed its merger with Rentrak Corporation in January 2016, to create the new model for a dynamic, cross-platform world. Built on precision and innovation, our unmatched data footprint combines proprietary digital, TV and movie intelligence with vast demographic details to quantify consumers' multiscreen behavior at massive scale. This approach helps media companies monetize their complete audiences and allows marketers to reach these audiences more effectively. With more than 3,200 clients and global footprint in more than 75 countries, comScore is delivering the future of measurement. For more information on 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
LI-EB1
. Apply now!Estimated Salary: $20 to $28 per hour based on qualifications.
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