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hace 2 meses
About the Role:
In this exciting position as a Senior Data Scientist at Geotab, you will be instrumental in designing and constructing new data modeling processes, with a focus on the geospatial space.
The successful candidate will explore data from multiple sources to design and develop new data modeling processes using prototypes, algorithms, predictive models, and custom analyses.
You will utilize strong problem-solving skills with statistical analysis to align data products with Geotab's organizational goals.
Key Responsibilities:
- Implement new statistical or mathematical methodologies for specific models of data analysis.
- Research the feasibility of potential predictive maintenance opportunities.
- Provide expert project leadership as a subject matter expert: guidance to team members and participate in cross-departmental projects establishing Geotab as a leader in data science.
- 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.
- 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 and external stakeholders to gather requirements.
- Responsible for the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
- Build production datasets and help customers solve business problems.
Requirements:
- Post-secondary Degree specialization in Computer Science, Software or Computer Engineering or a related field.
- 6+ years of experience as a Data Scientist or similar role.
- 5-8 years experience programming in Python and working with SQL.
- Solid understanding of machine learning and operations research.
- Knowledge of data management and visualization techniques.
- Affinity for statistical analysis and predictive modeling.
- Possess strong business acumen and link marketing initiatives to streamline operations.
- High accuracy and meticulous attention to detail.
- Strong project management skills; able to identify needs, develop effective solutions, and manage projects through to completion.
- Must stay relevant to technology and should have the flexibility to adapt to the growing technology and market demands.
- Strong analytical skills with the ability to problem solve to well-judged decisions.
- Strong team-player with the ability to engage with all levels of the organization.
- Technical competence using software programs, including but not limited to, Google Suite for business (Sheets, Docs, Slides).
- Entrepreneurial mindset and comfortable in a flat organization.
