We are looking for a Data Science and Machine Learning Engineer to join our R&D team.
You take the full responsibility for the design and implementation of data analytics and machine learning cycles:
Gather and analyse business requirements
Identify data sources
Build / use data pipelines or other mechanisms for data aggregation and consolidation
Design, test, measure and improve models and algorithms following short iterative cycles
The position is located in Toronto or can be assigned to a remote worker according to our WFA (work from anywhere) policy.
Skills and experience
MSc or PhD in Computer Science, Mathematics, Statistics.
Strong analytical background.
Proficiency in one or more machine learning platforms / languages such as R, Python, H2O, TensorFlow ...
3+ years of professional experience in data analysis and modeling.
Good command of English (writing and speaking).
Very hands-on with the capacity to manage the day-to-day development activities.
Proven track record in driving small to medium sized projects to completion.
Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.
Skilled at focusing and prioritizing work effectively to meet deadlines and achieve desired results.
Excellent problem solving and troubleshooting skills.
Ability to work well with people and be both highly self motivated and motivating.
Experience in communicating with business teams to collect requirements.
We’re looking for people who can adapt very quickly and with an open mind. Choosing and using the best tools for the job is a key success factor. It is therefore required that you get a good understanding of standard algorithms used in machine learning, including: