Lead Data Scientist

Geotab Inc.
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Job Description

The Lead Data Scientist leads and contributes to medium to large projects; generally these are multi-person projects spanning cross-functional areas both within the data department and across other technical boundaries. You will work to research, experiment, develop, and bring to production data science solutions involving machine learning models, data processing pipelines, novel algorithms, and related topics in the context of fleet management and aggregated telematics solutions. You have the ability to problem solve and create technical solutions for novel business problems, working with non-technical stakeholders as needed to evaluate technical tradeoffs. This role also includes technical mentorship to other Data Scientists.

How you'll make an impact:

  • Develop and refine inference and predictive models for the Fleet Safety data product umbrella.
  • Collaborate with cross-functional teams including product managers, data analysts, data scientists, developers, user experience analysts and external stakeholders 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.
  • Create algorithms and models required to solve complex business problems.
  • 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.
  • Take responsibility for the technical output of a project.
  • 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.
  • Cross team and service boundaries to solve problems.
  • Build relationships with stakeholders including customers, product managers, cross-functional teams, and external partners.
  • Contribute to defining strategic direction, planning the roadmap, and synthesizing feedback to ensure team success.
  • Ensure that knowledge is shared amongst the team and does not position themselves or others as a single point of failure; is skilled at influence without authority, to unblock technical impediments and achieve necessary technical alignments across individuals and teams with minimal escalations.
  • Mentor multiple Data Scientists; work through others; lift the skills and expertise of those around.
  • Advise managers with insights and recommendations to improve the technical team; participate in recruiting processes for technical team members.
  • Own responsibility for the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
  • Collaborate with business stakeholders to understand their requirements and develop analytical solutions.
  • Drive innovation and continuous improvement in data science methodologies and practices within the organization.

What you'll bring to the role:

  • Diploma/Degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field.
  • 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 will be an asset.
  • 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.

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.

Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.

Why job seekers choose Geotab

Flex working arrangements

Home office reimbursement program

Baby bonus & parental leave top up program

Online learning and networking opportunities

Electric vehicle purchase incentive program

Competitive medical and dental benefits

Retirement savings program

*The above are offered to full-time permanent employees only

How we work

At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!

Geotab verifies candidates' eligibility to work in the United States through E-Verify, an internet-based system operated by U.S. Citizen and Immigration Services.

Other employment statements:

Geotab will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

Company Info.

Geotab Inc.

Geotab Inc. is a privately held company that provides telematics hardware solutions which it presents as Internet of Things devices. These devices feed their software as a service analytics platform.

  • Industry
    Telematics
  • No. of Employees
    500
  • Location
    Oakville, ON, Canada
  • Website
  • Jobs Posted

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