Data Scientist

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.

Requirements:

• 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

Nice 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
• Vacation (up to 20 working days)
• Paid sick leaves (10 working days)
• National Holidays as paid time off
• Accountant assistance and legal support
• Flexible working schedule, remote, office-based or hybrid format
• 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

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