Data Scientist - Media Measurement & Data Solutions (Remote)

Cint is a pioneer in research technology (ResTech), operating the world's largest programmatic marketplace with nearly 300 million respondents. They empower businesses to gain insights from real people to build strategies, measure advertising impact, and more. Their mission is to "feed the world's curiosity."

The Opportunity

As a Data Scientist at Cint, you will work within the Data Science and Analytics teams, collaborating with product and engineering to enhance Media Measurement and Data Solutions products. This involves data analysis, designing statistical and machine learning model methodologies, building codebases, and validating models. The ideal candidate is a self-starter comfortable with large datasets, knowledgeable in statistical and machine learning techniques, and eager to contribute to product development that aligns Cint's capabilities with market needs.

What You Will Do

• Contribute to the discovery and development phases for new and existing products/models related to media measurement.
• Participate in model development, validation, and maintenance.
• Analyze large datasets to identify trends, patterns, and insights, ensuring the 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 achieve broader project goals.
• Develop methodologies, model validation techniques, and maintain/enhance existing statistical and machine learning models.
• Support the evaluation and validation of both internal and external products to ensure Cint’s success.
• Communicate insights and recommendations through visualizations and presentations suitable for diverse audiences.

What We Are Looking For

• 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 independently manipulate, analyze, and interpret large data sources.
• 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, classification, stochastic modeling/simulation).
• 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 and model validation and accuracy.
• Comfortable learning new methods, tools, and techniques.
• Ability to complete assigned tasks independently while collaborating on overall project direction.
• Proficiency in Python for statistical analysis and implementing Machine Learning models.

Bonus Points If You Have

• 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).

Additional Information

• #LI-Remote
• #LI-JM1

Our Values

• Collaboration is our superpower: Uncovering rich perspectives, succeeding together, delivering across borders.
• Innovation is in our blood: Pioneering the industry, insatiable curiosity, bringing the best ideas to life.
• We do what we say: Accountability, excellence as standard, openness, honesty, and kindness.
• We are caring: Learning from each other, valuing every opinion, embracing diversity, equity, and inclusion.

More About Cint

Cint is recognized in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®. They have grown significantly through strategic acquisitions, including GapFish and Lucid, establishing a strong global platform with offices worldwide. Cint Group AB (publ) is listed on Nasdaq Stockholm. Candidates are encouraged to review the AI usage guide provided.