At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Aim of the Position : The purpose of this position is to support our cross media measurement in Poland, Ukraine, Adriatic and support the international TAM business across the region. Responsibilities range from BAU reporting, analysis, optimizing the current codebase, lightweight automation, to new product and methodology implementations. Cooperating with the stakeholders and other Data Science team in the organization. Ensuring analytic and technical support to the clients, supporting client engagement under the Data Science topics. Supporting local Operation teams at data quality control, data validation and process improvement. Contribution to internal DSCI topic related projects. Contribution to audit procedures. Contribution to tender procedures to keep and grow the business footprint of Nielsen.
Responsibilities :
Set up tailor made large scale survey design, implement and improve sampling and weighting methodologies, establish and improve questionnaire design.
Create universe estimation from survey database and / or third party data.
Design, implement and improve methodologies, including multivariable statistical models are applied for :
Data validation and quality control to ensure data quality standards are achieved
Complex trend analyses of linear and nonlinear viewing.
Viewing behavior analysis to detect any abnormality on the trends.
Checking extreme viewers to verify the consistency of the behavioral trend.
Panel behavior analysis to detect any abnormality on the trends.
Recommending design and analyzing the outcome of pilot projects for operational process improvement.
Ensure methodologies are fit for purpose and working as intended; troubleshoot, diagnose, and resolve when they are not.
Coding for
Deploy and maintain scalable, reusable/modular data procedures, and models for analytical, or reporting purposes.
Automatize regular analyses and data procedures.
Develop, implement and maintain good programming standards and practices across our data science and analytics codebases.
Communicate research findings
Present to varying audiences, internal and external clients
Data visualization, including building dashboards
Create methodological, product and process documentation
Work with cross-functional teams to productionize, validate, analyze and/or optimize methodologies
Skills :
Bachelor’s or Master’s degree in a quantitative research field, such as computer science, data science, statistics, mathematics, biological/physical sciences, economics, social science.
Outstanding statistical and analytical skills
4+ years research and code development experience in a business setting.
Strong proficiency with Python and R / SPSS.
Java, Spark, SQL, Unix, git, and AWS (S3 and EC2) + Machine learning fundamentals are advantage.
Collaborative code development experience, including version control, unit/integration testing, code review and sharing is advantage.
Language skills: Polish and English full professional proficiency. Ukrainian would be an advantage.
Excellent verbal and written communication skills. Excellent debugging skills
Cooperative and supportive attitude. Curiosity and skepticism. Detailed and precise workload management.
Transparency, honesty, including problem communication
#LI-MP1 Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.
