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1 Vacancy
The Opportunity
As a Senior 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 with the ability to independently research develop validate and maintain products that align Cint capabilities with the market.
What you will do
Lead research discovery and development phases for new and existing products/models relating to media measurement
Independently and confidently carry out project planning development and maintenance - end to end with minimal supervision
Analyze a variety of large datasets to extract impactful insights that can drive product strategy
Collaborate with cross-functional teams to align on design and implementation of models.
Develop methodologies validate and maintain statistical and machine learning models.
Ongoing evaluation and validation of both internal and external products to ensure Cints success.
Communicate insights and recommendations through visualizations and presentations that will resonate with a wide range of audiences.
Qualifications :
What we are looking for
Masters degree or equivalent in Statistics Quantitative Sciences Data Science Operations Research or other quantitative fields.
5 years of experience in a data science capacity preferably in market research or advertising analytics.
Ability to manipulate analyze and interpret large data sources independently.
Deep understanding of advanced statistical techniques and concepts (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).
Strong Knowledge of a variety of machine learning techniques (clustering regression tree-based models etc.) and their real-world advantages/drawbacks.
Working knowledge in application of statistical and modeling techniques.
Strong analytical skills with a focus on data validation and accuracy.
Comfortable in researching and learning new methods tools and techniques.
Self-starter that can independently and confidently carry out projects end to end with minimal supervision.
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 with multivariate testing
Experience with predictive modeling
Experience modeling and quantifying outcomes through linking attitudinal (survey) data to behavioral (purchase) data
Experience in online survey methodologies
Ability to write and optimize SQL queries
Experience working with big data technologies (e.g. Spark)
Additional Information :
Anticipated Salary Range (US Only):
The anticipated pay range for this role is $140800 to $211200 annual base salary. This position is also eligible for the following benefits:
Medical Dental and Vision insurance options to suit you and your familys needs
401K with company matching
PTO unlimited sick days
Remote Work
Paid maternity and paternity leave
Annual bonus opportunity
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Our Values
Collaboration is our superpower
Innovation is in our blood
We do what we say
We are caring
More About Cint
Were proud to be recognised in Newsweeks 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 worlds 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. ()
Remote Work :
No
Employment Type :
Full-time
Full-time