Senior Data Science Engineer
The product that needs your engagement:
Mobion & OnTaxi
Our mission is to propel the success of global ride-hailing companies by delivering intelligent, scalable SaaS solutions. Since 2016, we have optimized operations, enhanced user experience, and driven profitability with powerful analytics, intuitive interfaces, and flexible customization. With deep industry expertise and cutting-edge technology, we provide the agility and insights needed to thrive in any market, empowering businesses to adapt and grow in a fast-changing environment.
Technical stack: Python, Spark, SQL, Kubeflow, MLflow, ETL.
Your future team of professionals:
You will be part of the Mobion product Data & Research team and work with highly motivated professionals who are passionate about the project. You will collaborate with engineers, product managers and analysts.
Your future challenges:
Development of new machine learning models, improving the efficiency of business processes, such as demand forecasting and pricing.
Impact you will make:
โ Development of machine learning models: Building and supporting models for pricing, demand forecasting, routing and analyzing customer behavior
โ Data Science: Work with large volumes of data to uncover hidden dependencies and anomalies
โ Deploying models to production: Collaborate with engineers to integrate models into the system
โ Model monitoring and optimization: Constantly monitoring model latency, scalability, and implement versioning strategy
โ Working with Business Teams: Collaborate with product managers and other teams to integrate models into the decision-making process
โ A/B Testing and Model Evaluation: Analyze the results of experiments to improve the product.
Skills we are looking for:
โ 4+ years of experience in data science
โ Proven experience developing ML models for Surge Pricing, Demand Forecasting, or similar high-load, real-time prediction systems
โ Experience working with time-series, geospatial data, and dynamic pricing algorithms is a strong plus
โ Experience with Python (statistical and ML packages) and Spark
โ Expert knowledge in SQL
โ Knowledge of mathematical and applied statistics, probability theory, regression analysis
โ Experience with ML tools: Kubeflow, MLflow, and ETL tools
โ Experience in data preparation, feature engineering, and model evaluation.
โ Git and Gitflow Workflow knowledge
โ Successful experience in developing and implementing DS solutions into a product that led to improved business results
โ English Upper-Intermediate or higher
Additional skills we would appreciate:
โ Familiarity with mobility, logistics, or transportation data and KPIs (ETA predictions, surge pricing, driver utilization)
Benefits you get:
- Maintain your work-life balance
Manage your own working hours with our flexible schedule
19 days of annual vacation granted on pro-rata basis
No overtimes required
- Hybrid type of cooperation
Whether you prefer to work remotely in the comfort of your home office or from one of our 4 offices, you can still take part in increasing world`s awareness about quality Ukrainian products from any part of the world
- Stay healthy
Medical insurance from one of the top insurance companies in Ukraine with a wide range of included services, as well as special programs for relatives; special options for those who live abroad.
15 working days of sick leave per year โ because your health is a priority.
- Grow with us
In-house English courses โ increase your proficiency through our online courses and speaking clubs with a native speaker
Online learning activities โ workshops, lectures and webinars to enhance your leadership, management and self-awareness skills
Experience exchange โ we are proud of our team of professionals who gladly share their deep expertise in all kinds of fields with the rest of the team
Promotions, rotations and transitions โ when you feel like your skills could be useful in other position or team
We are a perfect match if you share our values
We are professionals in our field.
We know how to turn up our professionalism to the maximum, because we are experts who enjoy solving complex tasks.
We know how to focus on the product, think big, and at the same time delve deep into the details.
We create a calm and friendly atmosphere within the company.
We value the freedom of open and transparent communications.
Radical honesty is embedded in the foundation of our culture.
We are open to new things and constantly develop and practice regular knowledge sharing, which helps us evolve continuously.
Most importantly, the company creates an environment where we can fulfill our potential upon a solid foundation.
Our Hiring process
- CV screening
- Recruiting interview
- 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 resume meets the job requirements, we will contact you to clarify details and schedule an interview within 2 weeks after your application is submitted.
The timeframe for feedback between interview stages may take up to 2 weeks.