The Data Scientist leads and executes multiple methods improvement projects for the Methods group.

CHALLENGES THAT AWAIT YOU:

Lead & execute all analyses to support innovation initiatives, methodology development, standards and best practices.

Work on multiple projects simultaneously

Leads prototyping (what –ifs) as well as supporting pilot programs for R&D purposes. The primary areas include – but not limited to – trend analysis, representation/sampling, bias reduction, indirect estimation, data integration, automation, generalization, harmonization as well as working with different data sources.

Address major quality escapes (problems).

Ensures documentation of the new methodologies and best practices.

Work with cross-functional teams to design, implement, and test new consumer and retail measurement methodologies.

Design and test data collection methodologies for Nielsen panels and surveys.

Lead & execute for the identification and implementation of methods and best practices to improve respondent cooperation and optimize data collection approaches.

QUALIFICATIONS:

B.S. OR MASTERS DEGREE IN STATISTICS, MATHEMATICS, OPERATION RESEARCH, OR OTHER HARD SCIENCES (E.G. ENGINEERING, COMPUTER SCIENCE, PHYSICS ETC.) WITH OUTSTANDING ANALYTICAL EXPERTISE AND STRONG TECHNICAL LEADER

2-4 YEARS OF RELEVANT EXPERIENCE

EXPERIENCE IN TREND ANALYSES, MULTIVARIATE STATISTICS (PARAMETRIC / NON-PARAMETRIC), SAMPLING, BIAS REDUCTION, INDIRECT ESTIMATION, DATA AGGREGATION TECHNIQUES, AUTOMATION, GENERALIZATION.

EXPERIENCE WITH MOBILE/DIGITAL DATA COLLECTION METHODOLOGY

EXPERIENCE IN HIGH-LEVEL PROGRAMMING LANGUAGE PYTHON.

STRONG COMMUNICATION/WRITING SKILLS

ABILITY TO MANIPULATE, ANALYZE AND INTERPRET LARGE DATA SOURCES

NICE TO HAVE:

EXPERIENCE IN BIG DATA TECHNOLOGIES AND MACHINE LEARNING

KNOWLEDGE IN SQL, WORKING WITH ALGORITHMS, AND LARGE-SCALE DATABASES.

DEMONSTRATES EXPERIENCE IN NIELSEN METHODOLOGIES, DATA COLLECTION, PLATFORMS, RESEARCH PROCESSES AND OPERATIONS.

DOMAIN EXPERT IN AT LEAST ONE AREA: DEMOGRAPHY, SAMPLING, STATISTICS MODELING, RESEARCH PRACTICES, RETAIL MEASUREMENT, AUDIENCE MEASUREMENT, DATA INTEGRATION.

EXPERIENCE WITH DIGITAL USER ENGAGEMENT

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上班地址：延安东路618号东海商业中心（二期）四楼