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Nielsen
Nielsen
H1B vizasi homiysiMa'lumotlar tahliliMarketingMedia
Nielsen kompaniyalarga televideniye, raqamli platformalar, striming va audio sohalaridagi auditoriyani tushunishga yordam beradigan global media o‘lchovlari va ma’lumotlar tahlili kompaniyasidir. Uning Nielsen ONE yechimi turli media kanallaridagi o‘lchovlarni birlashtirib, odamlar kontentni qanday iste’mol qilishi va media kampaniyalari qanday natija berishi haqida yanada aniqroq tasavvur yaratadi. Kompaniya iste’molchilar xulq-atvori, media rejalashtirish va marketing samaradorligi bo‘yicha tushunchalar hosil qilish uchun keng ko‘lamli ma’lumotlar infratuzilmasini panel asosidagi metodologiyalar bilan uyg‘unlashtiradi. Nielsen media, ma’lumotlar tahlili va marketing yo‘nalishlarida faoliyat yuritadi hamda turli jamoalar va xodimlarning biznes resurs guruhlari orqali inklyuziv ish muhitini qo‘llab-quvvatlashga e’tibor qaratadi.
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Kompaniyadagi ish o‘rinlari

Data Scientist in Mexico (Remote)

Develop statistical and machine learning models for Nielsen’s media audience measurement business. Build production data pipelines and deliver analytics that address client needs.

MXMeksikaMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar olimi
AWSBulutOraclePySparkPythonSQLTableau

Tavsif

  • Design, develop, implement, and test econometric, statistical, optimization, and machine learning models
  • Create forecasting models and code for PPM Wearables audience measurement production processes
  • Build data pipelines, conduct analyses, and communicate findings
  • Partner with stakeholders to develop clear, data-driven recommendations and solutions
  • Develop expertise in PPM sampling methodology, audience measurement, and panel management strategies
  • Query large relational databases to support analyses and requests
  • Perform complex data analysis and visualization with Python, Tableau, R, and comparable tools
  • Maintain and improve data algorithms for PPM sample methodology in a time-sensitive production environment
  • Maintain and revise departmental procedures, checklists, and performance metrics
  • Contribute to cross-functional teams and critical projects involving requirements definition, software development, and testing
  • Address internal and external client requests with data-driven solutions
  • Implement quality checks to identify and correct errors in production processing and analysis
  • Lead code reviews and encourage modular code, unit testing, and CI/CD practices to support product quality, stability, and scalability

Talablar

  • Bachelor’s degree or higher in mathematics, statistics, computer science, data science, data engineering, or a related discipline
  • At least 3 years of professional experience in statistics, data science, or a related field
  • At least 3 years of experience manipulating, analyzing, and interpreting complex data sources
  • At least 3 years of experience using Python, PySpark, and SQL to develop data pipelines
  • At least 3 years of experience creating data visualizations with Tableau or comparable tools
  • Experience working in cloud environments such as AWS
  • Experience with DevOps tools, source control, and CI/CD workflows using GitLab or similar platforms
  • Ability to manage projects and prioritize multiple assignments
  • Clear communication skills and the ability to manage competing priorities in a fast-paced environment
  • Willingness to evaluate new solutions and iterate quickly in response to customer feedback
  • Strategic perspective and an understanding of how data insights influence product and business objectives
  • Exceptional problem-solving ability
  • Ability to work independently and solve problems within cross-functional teams
  • Preferred: working knowledge of ANOVA, chi-squared tests, correlation, regression, and Student’s t-test
  • Preferred: experience querying large datasets with SQL and working with Oracle, Netezza, data warehouse, and data lake structures

Imtiyozlar

  • Opportunity to work remotely
  • Equal-opportunity employer with a diverse and inclusive workplace
  • Opportunity to contribute to high-impact media measurement projects with global teams

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