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1 Vacancy
The Opportunity
As a Senior Data Scientist at Cint you will play a pivotal role in optimizing the Cint Exchange. Collaborating closely with product and engineering teams you will deliver data-driven solutions to enhance the performance of existing products inform the development of new offerings and deepen our understanding of marketplace dynamics. This role involves advanced data mining and analytics robust product and data validation and the development of sophisticated statistical and machine learning-based methodologies.
The ideal candidate will have a strong ability to independently research develop and maintain high-impact solutions that align Cints capabilities with market needs directly influencing strategic decisions for the Exchange.
What you will do
Lead the research discovery and full-cycle development of machine learning solutions including model development deployment maintenance and performance evaluation ensuring seamless integration into production environments for the Cint Exchange.
Develop a comprehensive predictive understanding of marketplace dynamics including price elasticity supply/demand balance and their underlying mechanics within the Cint Exchange providing deep analytical insights.
Independently and confidently carry out complex project planning development and maintenance end-to-end with minimal supervision.
Analyze large diverse datasets to extract impactful insights that can guide Exchange product and pricing strategy.
Collaborate with cross-functional teams (Product Engineering Commercial Operations Finance) to design implement and test new and existing products as well as to understand analyze explain and predict the impact of platform algorithms on clients and partners.
Define establish and drive the development of advanced statistical and machine learning methods setting modeling standards and best practices.
Conduct exploratory analyses to deepen insights into key metrics and trends and lead the design and execution of A/B tests and other complex experiments to validate hypotheses for the Exchange.
Continuously evaluate and validate both internal and external products to ensure Cints continued success and the health of the Exchange.
Create clear effective deliverables that communicate complex insights and recommendations through compelling visualizations and presentations tailored to diverse technical and non-technical audiences.
Qualifications :
What we are looking for
Minimum 5 years of solid working experience in a Data Science capacity with demonstrated experience in leading projects or initiatives.
A Masters degree (or equivalent) in Statistics Quantitative Sciences Data Science Operations Research or a related quantitative field.
Strong ability to manipulate analyze and interpret large complex datasets 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 including multivariate testing regression/predictive modeling causal inference and A/B testing).
Strong knowledge of various machine learning techniques (e.g. clustering regression decision trees neural networks etc.) and their real-world advantages and drawbacks.
Proven experience applying statistical and modeling techniques to solve complex business problems in real-world scenarios.
Proficiency in Python (for statistical and ML package tools).
Proficiency in SQL and working with large-scale databases.
Comfortable researching and adopting new methods tools and techniques and able to mentor junior colleagues on their application.
Essential Qualities:
Highly accountable self-starter and quick learner consistently motivated to deliver high-quality impactful results.
Strong data-driven mindset with the ability to translate abstract business requests into actionable analytical initiatives and solutions.
Excellent written and verbal communication skills with the ability to explain defend and present complex analytical techniques and findings to diverse audiences including senior leadership and non-experts.
Ability to understand the big picture strategic objectives while ensuring meticulous attention to detail in execution.
Bonus points if you have
Experience in marketplace dynamics matching algorithms or supply/demand optimization.
Experience with survey exchange platforms.
Knowledge of dynamic pricing models.
Experience with Databricks and using it for scalable data processing and machine learning workflows.
Experience working with big data technologies (e.g. Spark PySpark).
Experience with online market research methods/products.
Additional Information :
#LI-Remote
#LI-JC1
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 :
Yes
Employment Type :
Full-time
Remote