Data Scientist
RemoteUnited Kingdom
Job Summary
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. 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.
Required Qualifications
- Minimum 3+ years of working experience in a Data Science capacity
- 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 (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
- 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
Desired Qualifications
- 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
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