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Globo

Senior Data Scientist – Marketing Science

Globo

Senior Data Scientist in marketing at Globo creating data-driven strategies for business. Collaborating with teams to enhance user-centric business decision-making through data insights.

Posted 6/12/2026full-timeSão Paulo • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies
CloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • Build and operate media mix models (Media Mix Modeling - MMM);
  • Design incrementality and quasi-experiments to measure the causal effects of different media types;
  • Collaborate with multidisciplinary advertising teams to deliver business-relevant solutions for Globo's advertisers;
  • Act in a consultative capacity with senior stakeholders, translating complex statistical concepts into actionable business strategies;
  • Influence Globo's medium- and long-term strategy for advertising measurement products;
  • Conduct exploratory data analyses and create statistical visualizations to support business decisions;
  • Collaborate on building infrastructure to scale measurement solutions;
  • Serve as a technical lead for the team, mentoring junior scientists and defining the organization's code quality and statistical rigor standards;
  • Drive the continuous improvement of production solutions.

Requirements

What you’ll need
  • Bachelor's degree in a quantitative field (Engineering, Statistics, Mathematics, Economics, or Computer Science), or Bachelor's plus a Lato Sensu postgraduate specialization in a quantitative field;
  • Professional experience: 4+ years in the market, or 2+ years with a completed master's degree (in a quantitative field), or 1+ year with a completed PhD (in a quantitative field);
  • Advanced proficiency in Python and SQL;
  • Experience with cloud environments, particularly Google Cloud Platform (GCP);
  • Deep knowledge of causal inference;
  • Strong expertise in statistical inference, especially Bayesian methods;
  • Solid mathematical foundations in statistical modeling and machine learning;
  • Experience with time series models;
  • Ability to communicate insights, analyses, and complex concepts to diverse audiences.

Benefits

Comp & perks
  • This position is also open to candidates with disabilities (PcD)
  • Hiring process 100% remote
  • Diverse and inclusive environment

ATS Keywords

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Hard Skills & Tools
PythonSQLcausal inferencestatistical inferenceBayesian methodsstatistical modelingmachine learningtime series modelsdata analysisstatistical visualization
Soft Skills
consultative capacitycommunicationmentoringcollaborationinfluencingproblem-solvingbusiness strategy translationcontinuous improvementteam leadershipstakeholder engagement
Certifications
Bachelor's degree in quantitative fieldLato Sensu postgraduate specializationMaster's degree in quantitative fieldPhD in quantitative field