Geotab is seeking a Senior Data Scientist to explore and examine data from multiple sources in order to design and construct new data modeling processes using prototypes, algorithms, predictive models, and custom analyses to help businesses grow and succeed, and increase the safety and sustainability of our communities.
Requirements
- 5-8 years of experience as a Data Scientist, writing SQL queries, and programming in Python.
- Solid understanding of machine learning and operations research.
- Knowledge of data management and visualization techniques.
- Affinity for statistical analysis and predictive modeling.
- 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.
- Build production datasets and help customers solve business problems.
Responsibilities
- designing, developing, and maintaining ongoing metrics, reports, analyses, and dashboards to drive key business decisions
- providing expert project leadership as a SME
- participating in cross-departmental projects establishing Geotab as a leader in data science
- Implement new statistical or mathematical methodologies for specific models of data analysis.
- Create algorithms and predictive models to extract information required to solve complex business problems.
- Conduct causality experiments by applying A/B experiments or epidemiological approach to identify the root issues of an observed result.
- Identify new, complex queries from Big Data infrastructure from data warehousing database (i.e. Google BigQuery) to add value to the organization.
Other
- Post-secondary Diploma/Degree specialization in Data Science, Mathematics, Computer Science, Statistics, or related field.
- Graduate or post-graduate Degree in Data Science, Mathematics, Computer Science, Statistics, or a related field is an asset.
- Possess strong business acumen and link marketing initiatives to streamline operations.
- High accuracy and meticulous attention to detail.
- Must stay relevant to technology and should have the flexibility to adapt to the growing technology and market demands.
