We’re seeking a talented and experienced Data Scientist to join our client — a leading tech-enabled logistics platform that transforms on-demand delivery across sectors like food, grocery, and retail.
You will join our Data Science team and play a key role in driving algorithmic solutions that enhance platform’s delivery network and scale it to optimum performance. This role goes beyond dashboards or reporting, you’ll tackle real-world optimization and machine learning product challenges that directly shape client’s operations, from real-time dispatch to long-term delivery network optimization. Experience / Skills required: Must have: * 4+ years of experience in Data Science or a similar role * Strong foundation in statistical inference, experimentation design, and causal reasoning * Solid coding skills, preferably in Python and/or Scala * Deep knowledge of ML development, from model design to deployment and monitoring * Proven ability to turn models into production-grade data products * A hands-on attitude and passion for solving high-impact, real-life problems * Comfortable working in fast-paced environments with evolving priorities * Upper-Intermediate English and better
Good to have: * Advanced SQL skills * Experience with Docker and containerized environments * Familiarity with Airflow or similar workflow orchestration tools * Exposure to event-driven systems (Kafka, Spark Streaming, Flink, etc.) * Background in distributed computing frameworks (e.g., Spark, Hadoop)
Responsibilities: Problem Discovery & Exploration * Drive scientific discussions around algorithms and modeling approaches, bringing deep analytical thinking and creative insights * Formulate hypotheses, design experiments to validate them, and analyze the data to guide decisions
Solution Design & Prototyping * Build and iterate on proof-of-concept ML and optimization models grounded in real business needs * Propose algorithmic improvements to solver logic, heuristics, and objective functions to better meet business constraints * Develop predictive models for supply optimization, network patterns, personalized heatmaps for couriers, ETA & risk signals, and routing strategies
Engineering & Productionization * Partner with ML Engineers, Platform Engineers, Analysts, and Product Managers to ship robust ML services * Contribute to data and feature pipelines, and ensure models are versioned, monitored, and reliably deployed * Set up monitoring and alerting protocols to track production performance and data quality
Culture & Collaboration * Promote best practices in experimentation, model development, and data-driven thinking across teams * Help strengthen a culture of curiosity, rigor, and end-to-end ownership
We offer: * Competitive salary with the regular review * Medical Insurance after 3 months probation period (can be used in Ukraine) * Vacation (up to 20 working days) * Paid sick leaves (10 working days) * National Holidays as paid time off (11 days) * Online English courses * Accountant assistance and legal support * Flexible working schedule, remote, office-based or hybrid format * Fully-equipped perfect office space located in the city center (ready for work in blackouts) * Direct cooperation with the customer * Dynamic environment with low level of bureaucracy and great team spirit * Challenging projects in diverse business domains and a variety of tech stacks * Communication with Top/Senior level specialists to strengthen your hard skills * Online/offline teambuildings * Volunteering culture development and support
