September 18, 2017

Data Quality Analyst (Content Taxonomy)

The Data Quality Analyst will be responsible for developing & reviewing metadata and vocabularies that aids the automatic classification of website content. As an ideal candidate, you are driven, curious, flexible, analytical, and detail-oriented. You take pride in your organizational skills and have a passion for performing research and synthesizing your findings. You naturally find problems and delight in identifying appropriate solutions.

What You'll Do:

  • Build and refine content categories as well as complete taxonomies by creating training sets, test cases, and vocabularies
  • Determine misclassifications and gaps in data coverage; identify contributing causes and help identify ways to resolve them to increase precision/recall
  • Collaborate with engineering and product teams on ideas to enhance the categorization processes
  • Analyze & interpret patterns from web traffic using statistical techniques/command line tools
  • Leverage both manual and automated solutions in order to better classify and categorize data

Experience You'll Need:

  • Bachelor’s degree in computer science, statistics or a related technical discipline
  • 1-2 years professional experience in a data analyst, QA or similar role
  • Excellent verbal and written communication skills in English
  • Strong problem solving and conceptual thinking abilities
  • Desire to work in a collaborative, fast-paced environment
  • Comfortable in technical environments and happy to learn new systems as needed
  • Ability to context switch between systems-level thinking and attention to minute details
  • Strong time management skills and demonstrated success in handling multiple, sometimes conflicting priorities
  • Ability to balance quick decision-making with attention to quality and accuracy
  • Familiarity with information precision/recall concepts
  • Solid experience with the following technologies will give you a head start:
    • Linux command line tools
    • Excel spreadsheets/pivot tables
    • Statistical Analysis and/or SQL experience
    • Scripting experience in Python or similar technologies
  • Experience in Jenkins and Jira is a plus

About comScore:  comScore, Inc. (OTC: SCOR) is a leading cross-platform measurement company that measures audiences, brands and consumer behavior everywhere. 

comScore is a recognized global leader in cross-platform measurement of audiences, advertising and consumer behavior. Built on precision and innovation, comScore combines proprietary TV, digital and movie viewing data with vast demographic details to measure consumers’ multiscreen behavior at scale. With more than 3,200 clients and a global footprint that spans more than 75 countries, comScore is delivering the future of media measurement.

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.

*LI-PR1

Data Quality Analyst (Content Taxonomy)
Req ID: 20524
http://www.comscore.com/Careers/Job_Opportunities?sfid=20524

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