Lead Data Scientist, ITS
4 weeks ago
About the Role:
We are seeking a highly skilled Lead Data Scientist, ITS to join our team at Geotab. As a key member of our data science team, you will be responsible for designing and constructing new data modeling processes using prototypes, algorithms, predictive models, and custom analyses.
Key Responsibilities:
- Develop and refine inference and predictive models to drive business decisions
- Provide expert project leadership as a subject matter expert, guiding team members and participating in cross-departmental projects
- Collaborate with cross-functional teams to gather requirements, build technical consensus, and drive data products to production
- Support the definition and shaping of research and development initiatives in areas of subject matter expertise
- Own the design, development, monitoring, and maintenance of scalable models
- Test the performance of models/data products and make recommendations for improving Geotab's product suite
- Conduct experiments to identify causality for data anomalies
- Stay up to date on the latest research in data science and propose innovative ideas and techniques to advance the field in our business domain
Requirements:
- 10-12 years of Data Science or related experience
- Thorough knowledge of relevant programming languages (primarily Python, SQL), object-oriented programming principles, Big Data tools, and Data Mining/Warehousing Programs (preferably Google Cloud BigQuery)
- Experience with model experimentation, deployment, and monitoring in large-scale cloud-based production systems
- Experience in working with large amounts of data in SQL
- Proficient in building models using common Python libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn
- Experience with building, training, and deploying predictive models
- Experience with AirFlow, Beam, Spark, BigQuery, and other cloud-based and distributed technologies to scale machine learning models and workflows
- Experience with various supervised and unsupervised machine learning methodologies in areas common to the business such as anomaly detection, time series forecasting, clustering, event prediction, and other areas
- Relevant industry experience in order to reach the competencies outlined and to demonstrate varied experience in a wide range of problems, pressures, and scenarios on a consistent basis
- Experience working within a technical or engineering organization; knowledge of the high-technology industry is an asset
- Diploma/Degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related field
What We Offer:
- Competitive medical and dental benefits
- Retirement savings program
- Flex working arrangements
- Home office reimbursement program
- Baby bonus & parental leave top-up program
- Online learning and networking opportunities
- Electric vehicle purchase incentive program
About Geotab:
Geotab is a global leader in IoT and connected transportation. We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.
We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at Geotab provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.
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