Data Scientist - Product Analytics
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 Scientist, Product Analytics who will perform data analytics to answer tangible business needs and find meaningful insights. 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, Product Analytics, your key area of responsibility will be to understand and translate product analytics metrics into queries and build dashboards and reports related to a wide range of Geotab products including Marketplace. You will need to work closely with the Data & Analytics, Marketplace and Product Marketing teams. To be successful in this role you will be a self-starter with strong written and verbal communication skills, have an eye for detail, good business acumen and ability to quickly understand complex, technical concepts. Previous experience with product analytics tools such as Pendo or Google Analytics is a plus.
How you'll make an impact:
- Examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions.
- Utilize statistical tools to interpret data sets and prepare reports that effectively communicate trends, patterns, and predictions based on relevant findings.
- Write optimized SQL queries to find answers to complex business questions.
- Identify any data quality issues and partialities in data acquisition.
- Coordinate with the engineering team to gather incremental new data.
- Proactively identify trends in data as well as identify interesting correlations that suggest new product areas to invest in to increase our customer satisfaction.
- 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.
- Support a platform providing ad-hoc and automated access to large datasets.
What you'll bring to the role:
- Post-secondary Diploma/Degree specialization in Data Science, Mathematics, Computer Science, Statistics, or related field.
- 1-5 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.
- 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.
- Strong analytical skills with the ability to problem solve well-judged decisions.
- Strong team-player with the ability to engage with all levels of the organization
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
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