Lead Data Scientist, ITS

Key Skills

Aartificial intelligence, Apache Airflow, Data Mining, Data Warehousing, Framework, Google BigQuery, Google Cloud Platform (GCP), Machine learning techniques, Python Programming, PyTorch, Scikit-learn, SQL, TensorFlow

Job Description

Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.

Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Join our talent network to learn more about job opportunities and company news.

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Lead Data Scientist, ITS who will utilize strong problem-solving skills with statistical analysis in order to align data products with Geotab’s organizational goals

What you'll do:

The Lead Data Scientist, ITS will 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.

How you'll make an impact

• Develop and refine inference and predictive models.

• Provide expert project leadership as a subject matter expert: give guidance to team members and participate in cross-departmental projects to deliver high-quality, data-driven results.

• 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

• 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.

• Diploma/Degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field. Equivalent combination of education and/or work experience in related field may be substituted.

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!