Data Scientist, Cint

• Minimum 2+ years of solid experience in a data science role
• 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 datasets
• In-depth understanding of statistical techniques and concepts (e.g., distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression, predictive modeling)
• Solid knowledge of machine learning techniques (e.g., clustering, regression, decision trees) and their practical applications and limitations
• Experience applying statistical and modeling techniques in real-world scenarios
• Proficient in Python (for statistical and ML tools)
• Proficient in SQL and handling large-scale databases
• Comfortable researching and adopting new methods, tools, and techniques
• Highly accountable self-starter and quick learner, motivated to deliver results
• Data driven with the ability to translate abstract requests into actionable initiatives
• Excellent written and verbal communication skills, with the ability to explain and defend analytical techniques to non-experts
• Ability to understand the big picture while ensuring attention to detai

Desirable

• As a Data Scientist – Platform Intelligence at Cint, reporting to the VP of Data Science and Analytics, you will provide insights to support the development of new products, enhance the performance of existing ones, and deliver data-driven product solutions in collaboration with product and engineering teams
• You will also be working with Commercial, Operations, and Finance teams to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners
• Develop a comprehensive, predictive understanding of marketplace dynamics, including price elasticity and demand/supply balance, and their underlying mechanics
• Support ad-hoc requests from stakeholders by conducting exploratory analyses to deepen insights into metrics and trends. Perform A/B testing and other experiments as needed
• Define statistical and machine learning methods, establish modeling standards, and drive their development
• Collaborate with cross-functional teams to design, implement, and test new and existing products
• Create clear, effective deliverables that communicate insights and recommendations through visualizations and presentations tailored to diverse audiences