About the Demand Prediction Team
In virtually every part of our products we rely on using data to invent and improve. You will work in a highly skilled cross functional team of Data Engineers, Data Analysts, and Data Scientists responsible for turning data into knowledge needed for our success.
Your team estimates on future demand and enables the teams around shift planning, pricing, fleet supply, routing and others to make MOIA successful.
Demand prediction enables:
- Optimized driver shift deployment
- Right price at the right time
- Optimized spatial fleet distribution
- Heuristic offer generation
What you will do
- Design, develop, deploy and maintain machine learning models to enhance MOIA’s products
- Improve our capabilities to predict future demand
- You will be working with our data scientists to determine adequate machine learning models, test them with available data and put them into our production systems
- You will be part of a team where continuous integration, peer reviews, code reviews, are practiced
What will help you to fulfill your role
The right person will be comfortable in an “all hands on deck” environment, loves solving problems, is excited to work in high-performance teams, and can thrive in a startup culture.
- A degree in a quantitative scientific discipline and/or several years of proven work experience as a Data Engineer with Machine Learning focus
- Experience with building, refining, deploying and maintaining machine learning models at scale, the ability to intuitively select the right model type for the right situation and justify the choice clearly
- Demonstrated proficiency in at least two of the following or similar languages: Python, SQL, R, Scala, Julia. Experience with Pandas or Spark is a big plus
- Knowledge in time series and spatial prediction methods
- Knowledge of visualization tools (e.g. Matplotlib, Bokeh, or similar)
- Experience with building and/or running large-scale applications on a PaaS/SaaS clouds is a plus
- Fluent communication in English is a must