Senior Data Scientist

**Company Description** Who We Are**

Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours.

We are feeding the world’s curiosity

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.

**Responsibilities**
- 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 mínimal 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** Qualifications Required**:

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

**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.

**Additional Information** Nice to 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.

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**Our Values**

**Collaboration is our superpower**
- We uncover rich perspectives acros