Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.
Job Summary:
Cint is a pioneer in research technology, providing a platform for businesses to gain insights from real people. As a Data Scientist, you will work with Data Science and Analytics teams to analyze large datasets, develop statistical and machine learning models, and collaborate with cross-functional teams to enhance Cint's products.
Responsibilities:
• 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 and presentations that will resonate with a wide range of audiences.
Qualifications:
Required:
• Master’s degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research or other quantitative fields.
• 2 years of experience in a data science and analytics capacity, preferably in market research, or advertising analytics.
• Ability to manipulate, analyze, and interpret large data sources independently.
• Familiarity with core statistical concepts and techniques (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, stochastic modeling/simulation, and more).
• Exposure to a variety of machine learning methods (clustering, regression, tree-based models, etc.) and their real-world advantages/drawbacks.
• Practical experience applying statistical and modeling techniques.
• Strong analytical skills with a focus on data validation and accuracy.
• Comfortable with learning new methods, tools, and techniques.
• Able to complete assigned tasks independently while collaborating on overall project direction and broader project goals.
• Proficiency in Python (as it relates to statistical analysis and implementing Machine Learning models)
Preferred:
• Experience in media measurement and digital attribution
• Experience in multivariate testing
• Experience in online survey methodologies
• Ability to write and optimize SQL queries
• Experience working with big data technologies (e.g. Spark)
Company:
The technology backbone of the world’s most successful insights companies. Founded in 1998, headquartered in Stockholm, Stockholms Lan, SWE, team size 1001-5000 employees, currently Public Company. Cint has a track record of offering H1B sponsorships.
