Data Scientist

🔥 1 hour ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 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 guide 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 complex experiments • Create visualizations and presentations communicating complex 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, experimental design, regression, 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 and working with large-scale databases • Ability to research and adopt new methods, tools, and techniques • Strong data-driven approach to translating business requests into analytical initiatives • Excellent written and verbal communication skills • Experience with marketplace dynamics, matching algorithms, or supply/demand optimization is a plus • Familiarity with financial datasets, commercial forecasting, web analytics tools, survey exchange platforms, Databricks, Spark, or PySpark is a plus