Senior Data Scientist

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $115k - $165k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

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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

• 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

• 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.