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13 дней назад

Senior Data Scientist (Media Measurement)

115 000 - 165 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist (Media Measurement): Architecting statistical methodologies and machine learning models that transform large-scale global data into insights for media measurement products with an accent on advanced statistics, survey methodologies, and predictive modeling. Focus on developing and validating scalable models, analyzing complex datasets, and translating statistical outputs into clear visualizations for technical and business stakeholders.

Location: Remote, United States

Salary: $115K–$165K USD per year

Company

hirify.global provides research technology through a programmatic marketplace that connects customers with respondents worldwide to support market research, business strategy, and digital advertising measurement.

What you will do

  • Lead research, discovery, and end-to-end development of statistical and machine learning models for media measurement.
  • Extract, manipulate, and analyze large, complex datasets to generate insights for product strategy.
  • Plan, develop, maintain, and validate data science projects independently.
  • Collaborate with engineering and product teams on model design, deployment, implementation, and ongoing evaluation.
  • Translate statistical findings and recommendations into visualizations and presentations for technical and non-technical audiences.

Requirements

  • Master’s degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research, or another quantitative field.
  • At least 5 years of experience in data science, preferably in market research or advertising analytics.
  • Advanced knowledge of statistical techniques including hypothesis testing, parametric and non-parametric tests, survey design, sampling theory, experimental design, regression, predictive modeling, and stochastic modeling or simulation.
  • Strong knowledge of machine learning techniques including clustering, regression, and tree-based models.
  • Proficiency in Python for statistical analysis and machine learning implementation.
  • Strong analytical, data validation, research, and independent project execution skills.

Nice to have

  • Experience in media measurement, digital attribution, multivariate testing, predictive modeling, or online survey methodologies.
  • Experience linking attitudinal survey data with behavioral purchase data.
  • Ability to write and optimize SQL queries.
  • Experience with big data technologies such as Spark.

Culture & Benefits

  • Remote full-time role supporting collaboration across global teams.
  • Culture focused on collaboration, innovation, accountability, openness, and inclusion.
  • Opportunities to work on research technology, media measurement, and large-scale global data.

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