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Cint
Cint
1 001 – 5 000 Xodimlar
Bozor tadqiqotiKonsaltingMarketing
Cint — 130 mamlakatdagi so‘rovlarni respondentlar bilan bog‘laydigan dasturiy tadqiqot bozori Cint Exchange platformasini boshqaruvchi global bozor tadqiqotlari texnologiyasi kompaniyasi. Uning platformasi media o‘lchovi, auditoriyani monetizatsiya qilish, brend ta’sirini o‘rganish, reklama ta’sirini tahlil qilish va marketingni real vaqt rejimida optimallashtirishni qo‘llab-quvvatlaydi. Cint so‘rov texnologiyasini ma’lumotlar sifati va yaxlitligini himoya qilishga mo‘ljallangan sun’iy intellekt hamda mashinaviy o‘rganish vositalari bilan birlashtirib, konsalting, marketing va bozor tadqiqotlari sohalaridagi tashkilotlarga xizmat ko‘rsatadi.
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Kompaniyadagi ish o‘rinlari

Senior Data Scientist, Media Measurement (Remote, UK)

Join Cint as a Senior Data Scientist building statistical and machine learning models for a global research technology platform. Analyze large-scale datasets to support media measurement products and generate strategic insights.

GBBuyuk BritaniyaMasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar olimi
PythonSparkSQL

Tavsif

  • Lead research, discovery, and full-lifecycle development of machine learning models for media measurement
  • Extract, transform, and analyze large datasets to generate insights that inform the product roadmap
  • Plan, deliver, and maintain data science projects independently from initiation through completion
  • Partner with engineering and product teams on model design, implementation, deployment, and continuous validation
  • Build, validate, and maintain statistical and machine learning models
  • Evaluate and validate internal and external product methodologies on an ongoing basis
  • Translate complex statistical results into visualizations and presentations for technical and non-technical stakeholders
  • Present findings and statistical recommendations clearly to varied business and technical audiences

Talablar

  • Master’s degree or equivalent in statistics, quantitative sciences, data science, operations research, or another quantitative discipline
  • At least five years of data science experience, ideally in market research or advertising analytics
  • Ability to independently manipulate, analyze, and interpret large datasets
  • Advanced knowledge of statistical methods, including distributions, hypothesis testing, parametric and non-parametric tests, survey design, sampling theory, experimental design, regression or predictive modeling, and stochastic modeling or simulation
  • Strong understanding of machine learning methods such as clustering, regression, and tree-based models
  • Practical experience applying statistical and modeling techniques
  • Strong analytical ability with careful attention to data validation and accuracy
  • Ability to independently investigate and learn new methods, tools, and techniques
  • Self-directed approach to delivering projects from start to finish with minimal supervision
  • Proficiency in Python for statistical analysis and machine learning implementation
  • Experience with media measurement and digital attribution is preferred
  • Experience with multivariate testing is preferred
  • Experience with predictive modeling is preferred
  • Experience linking attitudinal survey data with behavioral purchase data to model and quantify outcomes is preferred
  • Experience with online survey methodologies is preferred
  • Ability to write and optimize SQL queries and experience with big data technologies such as Spark are preferred, with each skill considered an advantage
  • Experience with big data technologies, such as Spark, preferred

Imtiyozlar

  • Remote work options are available
  • A culture focused on employee growth and professional development
  • Opportunities to collaborate with teams across countries and regions
  • Commitment to diversity, equity, and inclusion
  • An AI usage guide is provided for the interview and hiring process

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