Website 2S Water
Water monitoring application
* Preparing and presenting data to stakeholders
Communicating discoveries back to the executive and scientific teams, external stakeholders and media. Preparing clear, correct and informative visualizations to communicate complex data. This role will be an integration and processing point for the information generated by the production systems and research group. Their ability to know and communicate this information to others in the company allows people to better consume and understand this complex information.
* Identifying of potential data sources
We are always looking for new sources of data to understand our machinery and what it is seeing in the world. This role will advise on new sources of information and how they could be incorporated into our existing models.
* Preprocessing of structured and unstructured data
The data gathered by 2S Water comes in a number of formats from online databases to historic log files; this role will require processing data from all these sources at one point or another.
* Performing analysis on large data sets to discover trends and patterns
Using the ongoing stream of data from client sites generate models that allow us to identify normal and abnormal behaviour, both in the client’s machinery and process and any problems in our field units.
* Collaborating with the Research and Development Team
Work with the R&D team to understand the data they produce and advice on how to improve the process and the data gathered. This includes analysis of sensor data to understand the state of the machine itself, the pre-processing of raw spectrum and generating contamination estimates, and our confidence in them. Help the R&D team to identify additional information that can be gathered by the sensor, which will enhance our product and offerings to our clients.
* Organizing and storing data
Ensuring the large quantity of scientific data and metadata that is generated by 2S Water is properly cataloged and stored. This data is critical to this role and that expertise is to be used to work with the dev ops staff in the cataloging and backing up of the company’s scientific data. This role will also advise on what data should be readily available and what can be stored offline. The dev ops staff to ensure safe, long term storage options are available.
* Operate in the Amazon Web Services (AWS) environment and with AWS tooling
Our main servers operate in Amazon’s Montreal datacenter, the majority of our automated data collection is handled by our AWS services. AWS is large, complex and always changing so training will be available on an ongoing basis.
* Program Proficiently in Python
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