Scientist

Mandatory requirements:

• 3+ years of experience in DS. Experience in deploying models to production;
• Tech stack: Confident Python, advanced SQL, PySpark as a plus;
• Extensive experience in solving classical ML problems. Boostings, regression, ranking, classification;
• Statistics, A/B tests, knowledge of optimization basics and how the methods used work;
• Ability to present the results of complex solutions in a business-understandable language, proactivity in searching for growth points and generating new ideas.

Additional requirements

• Education: Top-10 university in a technical field as a plus.

Project tasks

• Immerse yourself in the business context of the restrictions platform, study the available data and existing infrastructure;
• Analyze current business processes, identify their vulnerabilities and growth points;
• Experiment with various machine learning approaches: classification, clustering, uplift models, ranking models, and neural network solutions (partially or fully);
• Compare the results of experimental models with the current solution, evaluating their advantages and disadvantages;
• Validate models using offline metrics (AUC, PR curves, NDCG, uplift metrics, etc.), ensure a statistically significant increase in accuracy;
• Prepare an analytical article or report that will compare each method in detail and justify the choice of the optimal solution;
• Launch the best of the tested solutions into production, ensuring its integration into the existing constraint management system.