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Principal Data Scientist

Hybrid - Principal

Cyprus, Limassol · Kazakhstan · Georgia · Germany

We are looking for an experienced and visionary Principal Data Scientist (Researcher) to join our Matching team. In this role, you will play a pivotal part in conducting advanced research, and driving the evolution of matching algorithms to efficiently connect riders with drivers while optimizing marketplace performance. You will collaborate with a team of talented researchers and engineers to deliver cutting-edge solutions, ensuring the seamless integration of data-driven insights and scalable algorithms into our platform. Your work will directly impact the efficiency, balance, and overall success of our marketplace.

Position not open anymore

Responsibilities

  • Conduct advanced research, evaluation, and improvement of algorithms for order-driver matching and ranking optimization;
  • Maximize marketplace efficiency through innovative approaches to free auction mechanics and dynamic matching strategies;
  • Develop and test hypotheses to identify growth points in existing algorithms and present results to business stakeholders in an actionable manner;
  • Design, implement, and analyze A/B testing experiments to validate algorithm improvements and inform future strategies;
  • Lead efforts to develop and productionize advanced analytical models and algorithms, ensuring scalability and reliability;
  • Collaborate with cross-functional teams to integrate new findings and improvements into product and engineering workflows.

Qualifications

  • 5+ years of experience in data analytics, data science, or a related field, with a focus on algorithmic research and optimization;
  • Strong mathematical background, particularly in mathematical statistics, discrete optimization theory, and causal inference;
  • Expertise in tabular ML, recommendation systems, and search algorithms;
  • Preferable experience with economic models and auction mechanics;
  • Exceptional analytical mindset: structured, critical thinking with the ability to balance resource investments against business impact;
  • Advanced proficiency in SQL: skilled in handling large datasets, writing and optimizing complex queries;
  • Proficiency in Python and associated tools (data processing libraries, databases, development workflows), familiarity with high load services;
  • Proven ability to lead research projects, mentor team members, and drive the adoption of data-driven solutions.

Conditions & Benefits

  • Stable salary, official employment;
  • Health insurance;
  • Hybrid work mode and flexile schedule;
  • Relocation package offered for candidates from other regions;
  • Access to professional counseling services including psychological, financial, and legal support;
  • Discount club membership;
  • Diverse internal training programs;
  • Partially or fully payed additional training courses;
  • All necessary work equipment.