Company Description
Mind in a Box : Your Entire Data Intelligence Infrastructure Jump-Started
http://mindinabox.ai
Our team manage all your DataOps, MLOps and NetOps/SecOps with one simple, cost-effective and ready to use EaaS solution, and provides support for your BI, advanced analytics and AI projects.
With customers over three continents and high profile past and ongoing projects (5 Scale AI projects to-date, for instance), Mind in a Box is a dynamic, agile team who is a spin off of Inmind Technologies Inc, a leader in Enterprise Management Systems. It focuses on the markets of Data Intelligence, Cybersecurity and Data Regulations, and AIoT / Manufacturing 4.0.
Role Description
This is a full-time hybrid role for a Lead Data Scientist at Mind in a Box in Montreal, QC, with flexibility for remote work. The Lead Data Scientist will be responsible for daily tasks related to data science, statistics, data analytics, data visualization, and data analysis to drive insights and decision-making within the organization.
Qualifications
- Data Science, Statistics, and Data Analytics skills
- Data Visualization and Data Analysis skills
- Strong understanding of machine learning and AI algorithms
- Initiative and autonomy coupled with communication skills
- Capacity to understand, follow and interpret positively the management, customer and team requirements
- Motivation to participate and propose research and development and scientific publication activities
- Ability to communicate complex data insights effectively to non-technical stakeholders
Technology skills
- Proficiency in programming languages such as Python, and SQL
- Experience with big data technologies, in particular noSQL such as Elastic or OpenSearch
- Experience in dealing with time series
Candidate profile
- Ph.D. in Data Science, Statistics, or related field mandatory
- MUST be a Quebec province resident or READY to be domiciliated in the short term in Quebec
- Capacity to use English in a professional environment mandatory
- Capacity to use French in a professional environment being an important criteria
- No prior professional experience required