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 and presentations that will resonate with a wide range of 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 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, classification, 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 and model 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)

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

We uncover rich perspectives across the world
Success happens together
We deliver across borders.

Innovation is in our blood

We’re pioneers in our industry
Our curiosity is insatiable
We bring the best ideas to life.

We do what we say

We’re accountable for our work and actions

Excellence comes as standard

We’re open, honest and kind, always.

We are caring

We learn from each other’s experiences
Stop and listen; every opinion matters
We embrace diversity, equity and inclusion.

More About Cint

We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth.

In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries.

Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com)