Data Scientist

Geotab; Waterloo, Oakville; Hybrid; CAD 80,000 - 110,000; Full time

Job summary

Geotab, a leader in IoT and connected transportation, seeks a Data Scientist to design and optimize data mining processes. This role involves developing analytical models, collaborating with teams, and using tools like Python and SQL to drive product innovation. Candidates should bring 2-5 years of relevant experience and a passion for technology.

Benefits

Flex working arrangements

Home office reimbursement program

Online learning and networking opportunities

Competitive medical and dental benefits

Retirement savings program

Qualifications

• 2-5 years experience as a Data Scientist.
• Understanding of machine learning and operations research.
• Experience with data mining/warehousing programs.

Responsibilities

• Develop and deploy advanced analytical models.
• Create algorithms and predictive models.
• Collaborate with teams to gather requirements.

Skills

Python

SQL

Machine Learning

Data Analysis

Education

Bachelor's degree in Computer Science or related field

Tools

Google BigQuery

Tableau

Scikit-learn

Tensorflow

Job description

Who we are:

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 ourblog and follow us @InsideGeotab onInstagram . Join ourtalent 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 Data Scientist who will design, build, and optimize data mining and model-building processes to extract actionable insights from our massive datasets. 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 Data Scientist, your key area of responsibility will be developing and deploying advanced analytical models to uncover trends, patterns, and insights in our data to drive product innovation and improve customer-facing solutions. You will need to work closely with internal technical teams, product managers, and engineering teams. To be successful in this role, you will have thorough knowledge of programming languages like Python and SQL and experience with Big Data tools such as Google BigQuery. In addition, the successful candidate will have experience with machine learning techniques and using/building business intelligence tools like Tableau to create data frameworks.

How you'll make an impact:

Design and construct Geotab’s data modeling processes.

Create algorithms and predictive models to extract information required to solve complex business problems.

Generate queries from Geotab’s Big Data Infrastructure from Data Warehousing database (i.e. Google BigQuery).

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 to gather requirements.

Responsible for the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.

Support a platform providing ad-hoc and automated access to large datasets.

What you'll bring to the role:

2-5 years experience as a Data Scientist or a similar role.

Understanding of machine learning and operations research.

Thorough knowledge of programming languages (e.g. Python, SQL, C++) and object-oriented programming.

Thorough knowledge of Big Data tools and Data Mining/Warehousing Programs (e.g. Google BigQuery).

Experience with machine learning techniques (e.g. Scikit-learn, Tensorflow).

Experience using/building business intelligence tools (e.g. Tableau) and data frameworks.

Experience working within a technical or engineering organization, with knowledge of the high-technology industry is an asset.

High accuracy and meticulous attention to detail.

Highly organized and able to manage multiple tasks and projects simultaneously.

Must stay relevant to technology and should have the flexibility to adapt to the growing technology and market demands.

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.

#LI-DNI

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 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.

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.

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]. 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. In addition to federal law requirements, Geotab complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Geotab expressly prohibits any form of workplace harassment or discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Geotab's employees to perform their job duties may result in discipline up to and including discharge. If you would like more information about our EEO program or wish to file a complaint, please contact our EEO officer, Klaus Boeckers at [e-mail]. For more details, view a copy of the EEOC's Know Your Rights poster . 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.

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