Position: Middle/Senior Machine Learning Engineer for Flixbus (Middle/Senior)
Company: Flixbus / FlixMobility Tech UA
Experience required: 3y
English level: intermediate

**Your profile  – Ready to hop on board**

— At least 3 years of experience working as a Machine Learning Engineer
— Experience using R, Python and SQL to manipulate data and draw insights from large data sets
— Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
— In-depth knowledge of statistics, algorithms and mathematics
— Experience with data visualization tools (Power BI, Tableau or any other similar tool)
— Hands-on experience in applying machine learning algorithms and libraries to models
— Able to apply software engineering best practices to analytics code (ex: version control, testing, continuous integration)
— Experience working in a Scrum/Agile environment
— Able to work with ETLT Framework (extract, format transformation, load, referential transformation)
— Great communication and collaboration skills
— Outstanding analytical and problem-solving skills
— English level: Upper — intermediate

**Perks – More than just a job**

— Trust-based working. We don’t punch the clock — organize your own schedule
— Regular business trips to Berlin and Munich 🇩🇪
— Educational budget (conferences, certifications, books, etc)
— 20 days of paid vacations per year
— 12 free FlixBus trips per year, 5 trips with 50% discount for relatives and friends
— Language course support
— Pet-friendly office
— Office snacks
— Have an impact. With innovation and smart technology, we are changing the way people travel, and you too can have an impact on this ride
— Push boundaries. Everyone is equally important and works together on uncharted challenges alongside inspiring colleagues from all over the world
— Fun at work and beyond. Discover the world with your free FlixBus rides and join our regular team events — there’s always something to celebrate!

**Your tasks – Paint the world green** 

— Provide clean, transformed data ready for analysis
— Develop data models and algorithms to apply to data sets
— Build software tools that help data scientists and analysts work more efficiently (e.g., writing an internal R or Python tooling package for analysts to use)
— Train and support business users on how to use data visualization tools
— Coach data analysts and scientists on software engineering best practices (e.g., building testing suites and CI pipelines)
— Maintain data documentation and definitions

**About Team**
Team Intel is a data analytics team with a mandate to keep everyone within FMX timely informed about trends in business operations. 
Our product is data-driven information.
To our customers (teams within FMX), our product and services enable data-driven decision making on quality and operational matters in the company using dashboards, reports, insights, and actionable business intelligence.