Data Scientist
RemoteSpain
Job Summary
Lead the research, discovery, and full-cycle development of machine learning solutions for the Cint Exchange, including model development, deployment, maintenance, and performance evaluation. Develop a predictive understanding of marketplace dynamics, including price elasticity and supply/demand balance, by independently analyzing large datasets to extract insights guiding product and pricing strategy. Conduct exploratory analyses, design and execute A/B tests to validate hypotheses, and collaborate with cross-functional teams to implement new products. Create clear deliverables communicating complex insights through visualizations to technical and non-technical stakeholders. Independently carry out project planning with minimal supervision while applying advanced statistical and machine learning methods to solve complex business problems.
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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