Data Scientist

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Lead the research, discovery, and end-to-end development of machine learning solutions for the Cint Exchange, encompassing model development, deployment, maintenance, and performance assessment.

• Cultivate a predictive comprehension of marketplace dynamics, including price elasticity and the balance of supply and demand.

• Independently organize, develop, and sustain projects with minimal oversight.

• Examine extensive and varied datasets to inform the Exchange's product and pricing strategies.

• Partner with Product, Engineering, Commercial, Operations, and Finance teams to design, execute, and evaluate products.

• Utilize advanced statistical and machine learning methodologies to address intricate business challenges.

• Perform exploratory analyses and spearhead A/B tests along with other sophisticated experiments.

• Generate visualizations and presentations that convey complex insights and recommendations to both technical and non-technical stakeholders.

⛳️ Requirements

• A minimum of 3+ years of professional experience in a Data Science role.

• A Master’s degree or its equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative discipline.

• Capability to manipulate, analyze, and interpret large, complex datasets independently.

• Proficiency in advanced statistical methods, including hypothesis testing, experimental design, regression analysis, causal inference, and A/B testing.

• Familiarity with machine learning techniques, such as clustering, regression, decision trees, and neural networks.

• Expertise in Python for statistical and machine learning applications.

• Proficient in SQL and experienced with large-scale databases.

• Capacity to research and adopt innovative methods, tools, and techniques.

• Strong data-oriented approach to converting business requests into analytical projects.

• Outstanding written and verbal communication skills.

• Experience with marketplace dynamics, matching algorithms, or supply/demand optimization is an advantage.

• Knowledge of financial datasets, commercial forecasting, web analytics tools, survey exchange platforms, Databricks, Spark, or PySpark is a plus.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health benefits, including medical, dental, and vision coverage.

• Opportunities for professional development and career advancement.

• Flexible work hours and the possibility of remote work.

• A collaborative and innovative work environment.