Who we are

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Science Intern Geospatial who will work closely with the Data Solutions team to. If you love data and technology and are keen to join an industry leader — we would love to hear from you!

What you'll do:

The Data Science Intern assists in the design and construction of new processes for data modelling using prototypes, algorithms, predictive models, and custom analyses. This internship position works closely with a team of data scientists and other technical professionals to make predictions through the extraction of information from the Geotab data repository needed to solve complex business issues.

The opportunity

• 6 months minimum, starting asap.
• Paid internship: Monday - Friday, 33hrs/week.

How you'll make an impact

• Implement new statistical or mathematical methodologies for specific models of data analysis. 
• Research the feasibility of potential Geospatial analytics opportunities and use Geotab data to develop new Geospatial data products. 
• Provide expert project leadership as a SME: 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.

What you'll bring to the role

• 0-2 years experience as a Data Scientist or within the final year(s) of a Postsecondary Data Science Degree. 
• Basic understanding of Machine Learning algorithms and Big Data tools.
• Working knowledge of programming languages (e.g. Python, SQL, C++).
• Working knowledge of Big Data tools and data mining/warehousing programs.
• Willingness to learn and creative mindset.
• Eager to experience working within a technical or engineering organization.
• High accuracy and meticulous attention to detail.
• Ability to work well under pressure and respond to fast changing priorities.
• Highly organized
• Strong team player

How we work