Data Scientist

The growing Voi Technology team is making the morning commute exponentially more enjoyable. That's why we have created networks of electrically-powered scooters throughout densely populated urban centers. And that's where you could show your skills!
At Voi you get an unprecedented opportunity to take part in the true range of engineering; from designing the vehicle, soldering the IoT hardware, creating the communication protocol, developing the backend, innovating on the app, and finally operating all this as a whole.
We are now looking for a Data Scientist to analyse large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.
Your goal will be to help our company analyse trends to make better decisions.
Responsibilities
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyse large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Present information using data visualisation techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams



Requirements
Proven experience as a Data Scientist or Data Analyst
Experience in data mining
Understanding of machine-learning and operations research
Knowledge of R, SQL and Python
Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
Analytical mind and business acumen
Strong math skills (e.g. statistics, algebra)
Problem-solving aptitude
Excellent communication and presentation skills
BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred



If this sounds exciting and challenging to you, we can offer work in a rapidly changing field. You will work in a team of diverse but also like-minded engineers.