| Company | Wise Digital |
| Job title | Data Scientist |
| Job location | Remote |
| Type | Full Time |
Responsibilities:
- We have available positions for curious, motivated analytical experts to bring the power of data-driven insights to the automotive retail and consumer finance customer experience.
- Your work will impact potentially millions of Canadians, helping match customers with the perfect finance options, at the right price, and with the best financing.
- As a Data Scientist, you will have the opportunity to apply a range of methods and tools from machine learning, statistics, data analysis, operations research, and modern programming to a range of use cases across the financing experience.
- You will be a trusted resource inside Wise Digital, providing insights, and reports, and sharing the data story.
Requirements & Skills:
- A Bachelor’s degree in a quantitative field, such as Engineering, Computer Science, Economics, Mathematics, or a similar technical discipline.
- 2+ years experience in applying analytics, data engineering, or data science
- Proficiency in working with SQL, Python, and/or R across large data sets
- Proficiency in using modern data visualization tools, such as Tableau, PowerBI, or similar
- Confident communication skills and a willingness to seek our needs and find answers
- The ability think think critically about complex problems, challenge assumptions, and implement creative solutions
What Would Be Nice To Have:
- A Master’s degree or higher, focused on data science, analytics, or software engineering
- Experience applying data science in the eCommerce, logistics, digital marketing, or consumer finance domains
- Familiarity with related disciplines such as project management, user experience design, software development, and digital marketing
- Experience in establishing data technology foundations for agile business intelligence, data lakes, data workbenches, and applied machine learning/AI
- Experience with large-scale data analysis technologies (e.g. Relational and NoSQL data stores, Spark framework, and cloud development in the AWS Ecosystem)
- Experience working with Salesforce data models and with applications across the Salesforce Ecosystem
