Geotab is seeking a Data Scientist to design and construct new data modeling processes and improve decision-making in producing effective customer-facing products.
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
- Experience working within a technical or engineering organization, with knowledge of the high-technology industry is an asset
- Technical competence using software programs, including but not limited to, Google Suite for business (Sheets, Docs, Slides)
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
- High accuracy and meticulous attention to detail
- Highly organized and able to manage multiple tasks and projects simultaneously
- Strong analytical skills with the ability to problem solve well-judged decisions
- Strong team-player with the ability to engage with all levels of the organization
- Entrepreneurial mindset and comfortable in a flat organization
