Senior Data Scientist

Geotab; Oakville; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

A dynamic technology company in Oakville seeks a Senior Data Scientist to design data models and analyze information for strategic business decisions. This role requires 5-8 years of experience in data science, strong analytical and project management skills, and proficiency in SQL and Python. The candidate will work closely with teams to drive data-driven insights and improvement initiatives, contributing to the company's growth and innovation.

Benefits

Flex working arrangements

Home office reimbursement

Online learning opportunities

Competitive medical and dental benefits

Retirement savings program

Qualifications

• 5-8 years of experience as a Data Scientist.
• Solid understanding of machine learning and statistics.
• Ability to engage with all levels of the organization.

Responsibilities

• Design and construct new data modeling processes.
• Develop and maintain metrics, reports, and dashboards.
• Collaborate with technical teams and stakeholders.

Skills

Strong analytical skills

Project management

SQL programming

Python programming

Machine learning

Education

Post-secondary Degree in Data Science, Mathematics, or related field

Tools

Google Suite

Scikit-learn

TensorFlow

Job description

Overview

Geotab is a global leader in IoT and connected transportation and certified “Great Place to Work.” 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.

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 Senior Data Scientist who 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. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you\'ll do:

As a Senior Data Scientist your key area of responsibility will be designing, developing, and maintaining ongoing metrics, reports, analyses, and dashboards to drive key business decisions, providing expert project leadership as a SME, and participating in cross-departmental projects establishing Geotab as a leader in data science. You will need to work closely with internal technical teams and external stakeholders to gather requirements.

To be successful in this role you will be a strong team-player with the ability to engage with all levels of the organization, and will possess strong analytical skills with the ability to problem solve to well-judged decisions. In addition, the successful candidate will have strong project management skill and be able to identify needs, develop effective solutions, and manage projects through to completion.

How you\'ll make an impact:

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.

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.

Build production datasets and help customers solve business problems.

What you\'ll bring to the role:

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.

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.

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.

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).

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!

We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. 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 [e-mail]. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to learn more about what happens with your personal data.

Geotab’s Voluntary Self-Identification Survey

Geotab is committed to fair and equitable treatment for all, and fostering a culture that embraces diversity and inclusion throughout the hiring process and beyond. At Geotab, our unique company culture is built upon the value of “always do the right thing” which is embraced by employees around the world. As a global organization, we continuously seek ways in which we can support both our staff and our communities through programs and partnerships focused on empowering diversity and prioritizing inclusion.

We invite you to complete this optional survey to help us evaluate our diversity and inclusion efforts. Submission of the information on this form is strictly voluntary. Opting not to participate will not impact your job application in any way. Information obtained will not be associated with your name or job application in any identifiable manner. This information will be kept secure and confidential and will be used solely to evaluate our diversity and inclusion efforts. The information collected in this survey is only available to HR staff and Geotab data scientists to view in aggregated data format and not on an individual basis. Your answer will be maintained confidential and not be seen by selecting officials or anyone else involved in making hiring decisions.

Note to USA Applicants: This is a separate survey from the EEO-1 Voluntary Self Identification Form used in the United States for compliance purposes. We feel that the options found in the mandated survey do not encompass the rich diversity of our applicants, and as such strive to provide additional responses that reflect the landscape more accurately.

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Note: This refined description excludes the actual application form fields and related details to focus on role responsibilities and qualifications.