Senior Data Scientist

Cint

. Lead research, discovery, and end-to-end development for new and existing machine learning models relating to media measurement .

Posted 10/16/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and validating machine learning models and statistical techniques, with a strong ability to analyze large datasets and communicate insights effectively to diverse audiences. Proficient in Python and SQL, with experience in media measurement and digital attribution.

Highest-signal resume keywords

Machine Learning TechniquesStatistical AnalysisPython ProficiencyData ManipulationMedia Measurement Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingPredictive ModelingRegression AnalysisClustering TechniquesExperimental DesignHypothesis TestingData ValidationSQL Query WritingBig Data TechnologiesData Visualization

Soft Skills

Analytical SkillsCommunication SkillsSelf-StarterIndependent Research

Tools & Technologies

PythonSQLSpark

Industry Keywords

Market ResearchAdvertising AnalyticsOnline Survey MethodologiesMultivariate TestingDigital Attribution

Tech Stack

Tools & technologies

PythonSparkSQL

About the role

Key responsibilities & impact

Lead research, discovery, and end-to-end development for new and existing machine learning models relating to media measurement
Extract, manipulate, and analyze massive datasets to uncover insights that shape and direct the product roadmap
Plan, develop, and maintain data science projects end to end with minimal supervision
Partner with engineering and product teams on the technical design, deployment, and ongoing validation of scalable machine learning models
Develop, validate, and maintain statistical and machine learning models
Conduct ongoing evaluation and validation of internal and external product methodologies
Transform complex statistical outputs into compelling visualizations and presentations for technical and non-technical stakeholders
Communicate findings and statistical recommendations clearly to diverse business and technical audiences

Requirements

What you’ll need

Master degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research, or another quantitative field
5 years of experience in a data science capacity, preferably in market research or advertising analytics
Ability to manipulate, analyze, and interpret large data sources independently
Deep understanding of advanced statistical techniques and concepts, including properties of distributions, hypothesis testing, parametric and non-parametric tests, survey design, sampling theory, experimental design, regression or predictive modeling, and stochastic modeling or simulation
Strong knowledge of machine learning techniques, including clustering, regression, and tree-based models and their real-world trade-offs
Working knowledge in the application of statistical and modeling techniques
Strong analytical skills with a focus on data validation and accuracy
Ability to independently research and learn new methods, tools, and techniques
Self-starter capable of carrying out projects end to end with minimal supervision
Proficiency in Python for statistical analysis and machine learning model implementation
Experience in media measurement and digital attribution preferred
Experience with multivariate testing preferred
Experience with predictive modeling preferred
Experience modeling and quantifying outcomes by linking attitudinal survey data to behavioral purchase data preferred
Experience in online survey methodologies preferred
Ability to write and optimize SQL queries preferred
Experience working with big data technologies such as Spark preferred

Benefits

Comp & perks

Employees can work remotely
Employee growth and development culture
Diversity, equity and inclusion
Global, collaborative work environment