Senior Data Scientist (Media Measurement)

Location: Remote, Brazil

Company

hirify.global is a research technology company operating a programmatic marketplace that connects businesses with respondents worldwide and supports research, advertising measurement, and strategic decision-making.

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.
• Design, deploy, validate, and maintain scalable models in collaboration with engineering and product teams.
• Plan and deliver data science projects independently with minimal supervision.
• Evaluate internal and external product methodologies on an ongoing basis.
• Translate statistical findings into visualizations and presentations for technical and non-technical stakeholders.

Requirements

• Master’s degree or equivalent in Statistics, Data Science, Operations Research, Quantitative Sciences, or another quantitative field.
• At least 5 years of experience in data science, preferably in market research or advertising analytics.
• Deep knowledge of distributions, hypothesis testing, parametric and non-parametric tests, survey design, sampling theory, experimental design, regression, predictive modeling, 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 and data validation skills, with the ability to research and deliver projects independently.

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 work arrangement for Brazil.
• Collaboration across global teams and borders.
• Emphasis on innovation, accountability, openness, diversity, equity, and inclusion.
• Opportunities to learn from colleagues and contribute ideas to a global research technology platform.