Cint
Computer Software
DataScientist
Neural analysis suggests this role is
optimal for mid candidates.
“Data Scientist at Cint. Skills: Data Science, Machine Learning, Statistical Modeling. Contribute to discovery and development phases for new. Participate in model development, validation and maintenance”
Industry & Context.
Data analysis; Identify trends; Identify patterns; Identify insights
What They're Looking For.
Must Have
Master's degree or equivalent, 2 years of experience, Ability to manipulate, analyze, and interpret large data sources independently, Familiarity with core statistical concepts and techniques, Exposure to a variety of machine learning methods, Practical experience applying statistical and modeling techniques, Analytical skills with a focus on data and model validation and accuracy, Comfortable with learning new methods, tools, and techniques, Able to complete assigned tasks independently, Proficiency in Python
Nice to Have
Experience in media measurement, Experience in digital attribution, Experience in multivariate testing, Experience in online survey methodologies, Ability to write and optimize SQL queries, Experience working with big data technologies
What You'll Do.
Contribute to discovery and development phases for new
Participate in model development
validation and maintenance
Analyze large datasets to identify trends
Ensure quality and reliability of results
Respond to ad hoc client-specific requests
Produce summary results
Collaborate with cross-functional teams to deliver on broader
Participate in developing methodologies
Participate in model validation
Participate in maintenance and enhancement of existing statistical
Support evaluation and validation of both internal and
How You'll Work.
Team & Collaboration
Cross-functional teams; Product teams; Engineering teams
Communication Scope
Communicate insights; Presentations
Full Job Description
Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! The Opportunity As a Data Scientist at Cint you will have the opportunity to work alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Media Measurement and Data Solutions products. This includes data analysis, design of statistical and machine learning model methodologies and codebases, and model validation. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and machine learning techniques, with an eagerness to learn and contribute to the development and validation of products that align Cint capabilities with the market. What you will do * Contribute to discovery and development phases for new and existing products/models relating to media measurement * Participate in model development, validation and maintenance * Analyze large datasets to identify trends, patterns, and insights, ensuring quality and reliability of results. * Respond to ad hoc client-specific requests including performing analyses, data manipulation and producing summary results. * Collaborate with cross-functional teams to deliver on broader project goals. * Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models. * Support evaluation and validation of both internal and external products to ensure Cint’s success. * Communicate insights and recommendations through visualizations an
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