Data Scientist

About Cint

Cint is a global leader in research technology, providing a vast programmatic marketplace with nearly 300 million respondents across over 150 countries. Our platform enables businesses to gather real opinions, motivations, and behaviors to formulate effective strategies, measure digital ad impacts, and more.

Role Overview

As a Data Scientist at Cint, you will be instrumental in enhancing the Cint Exchange by delivering data-driven insights and solutions. You'll work collaboratively with product and engineering teams to optimize current products, contribute to new product development, and deepen understanding of marketplace mechanics.

Key Responsibilities

• Lead end-to-end creation of machine learning solutions, including developing, deploying, maintaining, and evaluating models for the Cint Exchange.
• Build predictive models to understand marketplace elements like pricing elasticity and supply-demand equilibrium.
• Execute project planning and management autonomously with minimal oversight.
• Analyze extensive and varied datasets to uncover insights guiding product and pricing decisions.
• Collaborate across functions such as Product, Engineering, Commercial, Operations, and Finance to design and test product features.
• Utilize advanced statistical and machine learning techniques to address complex business challenges.
• Perform exploratory data analyses and lead the design and implementation of A/B testing and other experiments to validate hypotheses.
• Develop clear, compelling visualizations and presentations to communicate complex insights effectively to all stakeholders.

Required Qualifications

• A minimum of 3 years’ experience in Data Science roles (or 5+ years for senior positions).
• A Master’s degree or equivalent in Statistics, Data Science, Operations Research, or related quantitative disciplines.
• Strong skills in handling and interpreting large datasets independently.
• Expertise in advanced statistical methods such as hypothesis testing, experimental design, regression modeling, causal inference, and A/B testing.
• Solid understanding of machine learning algorithms, including clustering, regression, decision trees, and neural networks, along with their practical trade-offs.
• Proficiency in Python for statistical analysis and machine learning, and SQL for database management.
• Ability to readily research and integrate new methodologies and technologies.

Essential Personal Attributes

• Self-motivated and accountable with a fast-learning aptitude to deliver impactful outcomes.
• Strong analytical mindset to translate business needs into actionable data initiatives.
• Excellent verbal and written communication skills capable of conveying technical results to diverse audiences.

Desirable Skills

• Experience related to marketplace dynamics, matching algorithms, or supply-demand optimization.
• Knowledge of financial datasets and commercial forecasting methods.
• Familiarity with web analytics tools and optimizing user experiences.
• Background in survey exchange platforms or online market research products.
• Experience using Databricks, Spark, or PySpark for large-scale data processing.

Company Values

• Collaboration, valuing diverse global perspectives and teamwork.
• Innovation driven by curiosity and pioneering spirit.
• Accountability and commitment to excellence with openness and kindness.
• Empathy fostering diversity, equity, inclusion, and continuous learning.

Additional Information

Cint is recognized as one of Newsweek’s 2025 Global Top 100 Most Loved Workplaces® for its culture of trust, respect, and employee development. The company has expanded globally with acquisitions and offices worldwide.

Note: Candidates are encouraged to review Cint’s approach regarding the use of AI in the recruitment process.