Data Scientist

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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 full-cycle development of machine learning solutions for the Cint Exchange, including model development, deployment, maintenance, and performance evaluation • Develop a predictive understanding of marketplace dynamics, including price elasticity and supply/demand balance • Independently plan, develop, and maintain projects with minimal supervision • Analyze large, diverse datasets to generate insights guiding Exchange product and pricing strategy • Collaborate with Product, Engineering, Commercial, Operations, and Finance teams to design, implement, and test products • Apply advanced statistical and machine learning methods to complex business problems • Conduct exploratory analyses and lead A/B tests and other experiments to validate hypotheses • Create visualizations, presentations, and other deliverables communicating insights and recommendations to technical and non-technical stakeholders

🎯 Requirements

• Minimum 3+ years of working experience in a Data Science capacity • Master’s degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field • Ability to manipulate, analyze, and interpret large, complex datasets independently • Understanding of advanced statistical techniques, including hypothesis testing, parametric/non-parametric tests, survey design, experimental design, regression/predictive modeling, causal inference, and A/B testing • Knowledge of machine learning techniques, including clustering, regression, decision trees, and neural networks • Proficiency in Python for statistical and machine learning tools • Proficiency in SQL for working with large-scale databases • Ability to research and adopt new methods, tools, and techniques • Accountability, self-starting ability, and motivation to deliver high-quality results • Ability to translate business requests into actionable analytical initiatives • Strong written and verbal communication skills • Experience in marketplace dynamics, matching algorithms, or supply/demand optimization is nice to have • Familiarity with financial datasets, commercial forecasting, web-analytics tools, user-interface optimization, survey exchange platforms, or online market research products is nice to have • Experience with Databricks, Spark, or PySpark is nice to have

🏖️ Benefits

• Remote work option • Employee growth and development culture • Trust, respect, and employee growth • Diversity, equity, and inclusion