Senior Data Scientist

Cint

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

Posted 10/22/2026full-timeRemote • United StatesSenior💰 $115,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and validating machine learning and statistical models, with a strong focus on data manipulation, analysis, and visualization. Proficient in Python and SQL, capable of executing data science projects independently while effectively communicating insights to diverse stakeholders.

Highest-signal resume keywords

Machine Learning TechniquesStatistical AnalysisPython ProficiencyData ManipulationData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingPredictive ModelingRegression AnalysisClustering TechniquesExperimental DesignHypothesis TestingSampling TheoryStochastic ModelingSQL Query OptimizationBig Data Technologies

Soft Skills

Analytical SkillsSelf-StarterCommunication Skills

Tools & Technologies

PythonSQLSpark

Industry Keywords

Media MeasurementMarket ResearchAdvertising AnalyticsOnline Survey MethodologiesMultivariate Testing

Tech Stack

Tools & technologies

PythonSparkSQL

About the role

Key responsibilities & impact

Lead the research, discovery, and end-to-end development of new and existing machine learning and statistical models for media measurement.
Plan, develop, and maintain data science projects end to end with minimal supervision.
Extract, manipulate, and analyze massive and complex datasets to uncover insights that inform product strategy and roadmap.
Partner with engineering and product teams on technical design, deployment, implementation, 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 clear visualizations and presentations for technical and non-technical stakeholders.
Communicate findings and statistical recommendations 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.
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 is nice to have.
Experience with multivariate testing is nice to have.
Experience with predictive modeling is nice to have.
Experience modeling and quantifying outcomes by linking attitudinal survey data to behavioral purchase data is nice to have.
Experience in online survey methodologies is nice to have.
Ability to write and optimize SQL queries is nice to have.
Experience working with big data technologies such as Spark is nice to have.