Geotab is seeking a Data Scientist to design, build, and optimize data mining and model-building processes to extract actionable insights from their massive datasets, driving product innovation and improving customer-facing solutions.
Requirements
- Understanding of machine learning and operations research.
- Thorough knowledge of programming languages (e.g. Python, SQL, C++) and object-oriented programming.
- Thorough knowledge of Big Data tools and Data Mining/Warehousing Programs (e.g. Google BigQuery).
- Experience with machine learning techniques (e.g. Scikit-learn, Tensorflow).
- Experience using/building business intelligence tools (e.g. Tableau) and data frameworks.
Responsibilities
- Design and construct Geotab’s data modeling processes.
- Create algorithms and predictive models to extract information required to solve complex business problems.
- Generate queries from Geotab’s Big Data Infrastructure from Data Warehousing database (i.e. Google BigQuery).
- Use Machine Learning (ML) packages (e.g. Scikit-learn and Tensorflow) to develop ML models and features.
- Test the performance of data-driven products and make recommendations for improving Geotab’s product suite.
- Collaborate with internal technical teams to gather requirements.
- Responsible for the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
Other
- 2-5 years experience as a Data Scientist or a similar role.
- Experience working within a technical or engineering organization, with knowledge of the high-technology industry is an asset.
- High accuracy and meticulous attention to detail.
- Highly organized and able to manage multiple tasks and projects simultaneously.
- Must stay relevant to technology and should have the flexibility to adapt to the growing technology and market demands.
