Data Science Jobs Montreal, We are searching for a strategic and inquisitive senior data scientist to develop and run data-centered projects. In keeping with this overarching aim, the senior data scientist will be required to outline work requirements, assign tasks to junior staff, and monitor performance within the team.
You should also harness your mastery of Data Science to consult on various aspects of these and other projects.
To be successful as a senior data scientist, you should use data to ultimately inform and promote the company’s expansion. Top-notch senior data scientists will assume a prominent role in the development of junior staff.
|Hiring Organization||National Bank|
|Post Name||Senior Data Scientist|
|Qualification||Advanced degree in data science, statistics, computer science, or similar.|
|Employment Type||Full Time|
|Work Hours||8 Hours|
|Salary||CAD 23 To CAD 25 Per Hour|
|Location||Montreal, Québec, Canada H3X 1V4|
We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility and empowerment inspire us, and inclusivity is central to our commitments. We offer a barrier-free workplace that is accessible to all employees.
We want our recruitment process to be fully accessible. If you require accommodations, feel free to let us know during your first conversations with us. We want to contribute to your quality of life by offering you as much flexibility as possible in your work.
For example, we offer hybrid work (remote and in the office), work schedule arrangements to help you achieve work/life balance, and flexible leave that you can take when it’s important to you.
- Formulating, suggesting, and managing data-driven projects which are geared at furthering the business’s interests.
- Collating and cleaning data from various entities for later use by junior data scientists.
- Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
- Monitoring the performance of Junior Data Scientists and providing them with practical guidance, as needed.
- Selecting and employing advanced statistical procedures to obtain actionable insights.
- Cross-validating models to ensure their generalizability.
- Producing and disseminating non-technical reports that detail the successes and limitations of each project.
- Suggest ways in which insights obtained might be used to inform business strategies.
- Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.
Skills & Requirements
- Advanced degree in data science, statistics, computer science, or similar.
- Extensive experience as a data scientist.
- Proficiency in R or Python, where the former is preferred.
- In-depth understanding of SQL.
- Competent in machine learning principles and techniques.
- Demonstrable history of devising and overseeing data-centered projects.
- Ability to relay insights in layman’s terms, such that these can be used to inform business decisions.
- Outstanding supervision and mentorship abilities.
- Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.
- Compliance with prevailing ethical standards.
- The abundance of Positions.
- A Highly Paid Career.
- Data Science is Versatile.
- Data Science Makes Data Better.
- Data Scientists are Highly Prestigious.
- No More Boring Tasks.
- Data Science Makes Products Smarter.
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