Senior Data Scientist

Job Description

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 Cint’s 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 Cint's 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 Master's 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

• 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)