Senior Data Scientist

🔥 7 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cint

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

💼 Consulting

📣 Marketing

💰 Venture Round on 2016-01

Consulting • Marketing • Market Research

Cint is a leading global technology platform that provides a comprehensive marketplace for market research. The company operates the world's largest programmatic research marketplace, known as the Cint Exchange, which connects surveys with millions of respondents across 130 countries. Cint offers services such as media measurement and audience monetization, leveraging powerful technology to provide insights-driven companies with actionable data. With a focus on quality and trust, Cint uses advanced AI and machine learning tools to ensure the integrity and accuracy of the data collected. It serves a wide range of industries by offering tools for measuring the impact of advertising, conducting brand lift studies, and optimizing marketing strategies in real time. Cint is trusted by thousands of companies for its innovative approach to connecting businesses with the right survey participants efficiently and effectively.

📋 Description

• Architect statistical methodologies and machine learning codebases powering Media Measurement products. • Lead research, discovery, and end-to-end development for new and existing machine learning and statistical models related to media measurement. • Extract, manipulate, and analyze massive and complex datasets to uncover insights that shape product strategy and roadmap. • Plan, develop, and maintain data science projects end to end with minimal supervision. • 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 statistical outputs into visualizations and presentations for technical and non-technical stakeholders. • Communicate findings and statistical recommendations clearly to diverse business and technical audiences.

🎯 Requirements

• 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 their real-world trade-offs, 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 (nice to have). • Experience with multivariate testing (nice to have). • Experience with predictive modeling (nice to have). • Experience modeling and quantifying outcomes by linking attitudinal survey data to behavioral purchase data (nice to have). • Experience in online survey methodologies (nice to have). • Ability to write and optimize SQL queries (nice to have). • Experience working with big data technologies such as Spark (nice to have).