Data Scientist

As a 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 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.

Responsibilities

• Lead the research discovery and full-cycle development of machine learning solutions including model development deployment maintenance and performance evaluation 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.

• Independently carry out project planning development and maintenance with minimal supervision.

• Analyze large diverse datasets to extract impactful insights that 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.

• Apply and implement advanced statistical and machine learning methods to solve complex business problems.

• Conduct exploratory analyses into key metrics and lead the design and execution of A/B tests and other complex experiments to validate hypotheses.

• Create clear effective deliverables that communicate complex insights and recommendations through compelling visualizations and presentations to both technical and non-technical stakeholders.

Qualifications :

Qualifications Required:

• Minimum 3 years of working experience in a Data Science capacity (adjust to 5 if Senior).

• 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 (e.g. hypothesis testing parametric/non-parametric tests survey design experimental design regression/predictive modeling causal inference and A/B testing).

• Solid knowledge of core machine learning techniques (e.g. clustering regression decision trees neural networks) and their real-world tradeoffs.

• Proficiency in Python (for statistical and ML tools) and SQL (working with large-scale databases).

• Comfortable researching and adopting new methods tools and techniques.

Essential Qualities:

• Highly accountable self-starter and quick learner motivated to deliver high-quality impactful results.

• Strong data-driven mindset with the ability to translate abstract business requests into actionable analytical initiatives.

• Excellent written and verbal communication skills with the ability to explain and defend technical findings to diverse audiences.

Nice to Have:

• Experience in marketplace dynamics matching algorithms or supply/demand optimization.

• Familiarity with financial datasets & commercial forecasting processes.

• Familiarity with web-analytics tools & optimizing user interfaces.

• Experience with survey exchange platforms or online market research products.

• Experience with Databricks Spark or PySpark for scalable data processing.

Additional Information :

#LI-Remote

#LI-JC1

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

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

We do what we say

• Were accountable for our work and actions
• Excellence comes as standard
• Were open honest and kind always.

We are caring

• We learn from each others experiences
• Stop and listen; every opinion matters
• We embrace diversity equity and inclusion.

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. ()

Additionally in a world of AI we want our candidates to understand our approach to the use of AI during the interview and hiring process so wed appreciate you reading our AI usage guide.

Remote Work :

Yes

Employment Type :

Full-time