Data Scientist

• All vacancies
• Data Scientist (Dynamic Pricing & Marketplace ML)
  
  

Who we are

We are the Mobion team, whose mission is to empower ride-hailing companies worldwide with intelligent, scalable SaaS solutions. Since 2016, we have helped businesses optimize operations, enhance user experience, and increase profitability through powerful analytics, intuitive interfaces, and flexible customization. Backed by deep industry expertise and cutting-edge technology, we provide the agility and insights required to adapt, compete, and grow in an evolving market.

About The Product

Mobion is a cloud-based white-label platform for ride-hailing and corporate transport services. Launched in 2016 by Devart, it supports operators in 6+ countries and has handled over 20 million rides for 4M+ users and 500K drivers.

Our ecosystem includes rider and driver apps, a real-time dispatch system, admin dashboards, and branded web portals, all backed by a secure, scalable Azure infrastructure. We offer both SaaS and franchise models to help partners grow fast across regions.

Your future team of professionals

You will join the Mobion Data & Research team and work with highly motivated engineers, product managers, and analysts who are passionate about the project.

Responsibilities

Your key challenge will be to design, launch, and continuously improve ML-based dynamic pricing algorithms for a real-time marketplace.

• Development of machine learning models: Build and support models for pricing, demand forecasting, routing, and customer behavior analysis
• Data Science: Work with large volumes of data to uncover hidden dependencies and anomalies
• Model deployment: Collaborate with engineers to integrate models into the production system
• Model monitoring and optimization: Continuously monitor model latency and scalability, and implement a versioning strategy
• Work with business teams: Collaborate with product managers and other teams to integrate models into the decision-making process
• A/B testing and model evaluation: Analyze experiment results to improve the product
• Own the full lifecycle of ML solutions, from hypothesis and experimentation to production rollout and business impact measurement
  
  

Technical stack: Python, Strong SQL, Kubeflow, MLflow, ETL.

Requirements

• 4+ years of experience in Data Science
• Proven experience developing ML models for surge pricing, demand forecasting, or similar high-load, real-time prediction systems
• Experience working with time-series data, geospatial data, and dynamic pricing algorithms is a strong plus
• Experience with Python (statistical and machine learning libraries) and Spark
• Expert knowledge of SQL
• Strong knowledge of mathematics, applied statistics, probability theory, and regression analysis
• Experience with ML tools: Kubeflow, MLflow, and ETL tools
• Experience in data preparation, feature engineering, and model evaluation
• Knowledge of Git and Gitflow workflows
• Successful experience developing and implementing Data Science solutions that improved business outcomes
• Upper-Intermediate English or higher
• Familiarity with mobility, logistics, or transportation data and KPIs (such as ETA predictions, surge pricing, and driver utilization) is a plus
  
  

Benefits

• Flexible schedule that helps maintain a healthy work-life balance
• Work from home or office with no overtime required
• 19 working days of annual vacation granted on a pro-rata basis
• 15 working days of sick leave per year - because your health is our priority
• Comprehensive medical insurance from a leading Ukrainian provider, including a wide range of services and special programs for family members as well as special options for those who live abroad
• Free English classes
• Online learning activities - workshops, lectures, and webinars
• Career growth through promotions and rotations
  
  

We are a perfect match if you share our values

• Professionalism and expertise in solving complex tasks
• Product-focused mindset with attention to detail
• Friendly and collaborative workplace culture
• Open, transparent communication and radical honesty
• Continuous learning and knowledge sharing
• Active pro-Ukrainian position: We support our servicemen and their families not only through constant donations and volunteering, but also through our military leave policy, special health insurance options, and financial help
  
  

Our hiring process

• CV screening
• Introductory interview with the recruiter
• Technical interview
• Offer call
  
  

We strive to ensure transparency and openness in the hiring process, and we understand the importance of providing timely feedback. If your CV matches the requirements, we will contact you to clarify the details and schedule an interview within 2 weeks after your application is submitted.