Data Scientist

**Data Scientist**

**Take a central role**

The Bank of Canada has a vision to be a leading central bank—dynamic, engaged and trusted—committed to a better Canada. No other employer in the country offers you the unique opportunity to work at the very center of Canada’s economy, in an organization with significant impact on the economic and financial well-being of all Canadians. You will be challenged, energized and motivated to excel in our environment.

Building on the principles that have always guided us - excellence, integrity and respect - we strive to be forward-looking and innovative, to welcome people with diverse perspectives and talents, and to earn trust by living up to our commitments and by clearly explaining the intent of our policies and actions.

With our defined-benefit pension plan, benefits, and high flexibility for work life balance - find out more about why we are annually ranked as one of Canada's top employers: Working Here - Bank of Canada

Find out more about the next steps in our Recruitment process.

**What you will do**
As a Data Scientist, you will have excellent analytical and problem-solving skills. You are driven to generate actionable insights from data and have the technical skills to follow your curiosity. You will be an integral part of the Financial Markets Department’s model development work, collaborating with other data scientists and financial market experts to help the department make informed decisions.

Within the Financial Market Data Analytics team (FMDA), you will:

- collect, organize and manipulate structured and unstructured data from commercial, regulatory and internal sources
- perform data wrangling, dimensionality reduction and feature extraction
- apply, adapt and design computer programs for statistical analysis of data, including machine learning algorithms
- work jointly with economists and financial market specialists to evaluate, implement, and monitor automation scripts of our economic models
- use data visualization techniques to present the results of statistical analyses
- prepare detailed documentation to outline data sources, models and algorithms used and developed
- perform other operational and processing tasks for the team as required

**What you need to succeed**
You are curious and a go-getter whom by nature loves to dig deeper on problems and find creative ways to develop tools and services that drive innovation and bring value to real-world business problems. You have a strong foundation of quantitative skills and a practical mindset using the appropriate technique for the problem, whether that be a simple linear regression or a deep neural network. You are proficient in at least one statistical/analytical software (e.g., Python, R, Matlab etc.) and fluent in object-oriented programming and scientific programming (e.g. Python) and related libraries for data science.You are committed to learning and self-development, able to set priorities and ensure project completion in a timely manner. You have excellent interpersonal skills and an ability to clearly communicate information and ideas adapted to the target audience, using clear and compelling written and oral communications.

You have experience:

- assembling, manipulating and analyzing immense datasets that are significantly larger than our standard data sets and often retrieved in non-structured forms
- developing technical workflows that incorporate automation and produce easily consumable results with data story-telling via visualization tools, dashboards, presentations and reports

**Your education and experience**
This positions requires a completed Master’s in a quantitative field such as Computer Science, Statistics, Mathematics, Finance, Economics, Engineering or other related quantitative discipline (ideally with significant coursework in data science) and two years of relevant experience solving problems that require the use of advanced data science and statistical modelling techniques.

**Nice-to-have**
- Knowledge of economics and/or finance and financial markets data
- Knowledge and experience with ML Ops, Data Ops, or Dev Ops in general
- Knowledge of cloud computing and data science over cloud platforms is a strong asset

**What you need to know**
- Language requirement: English or French essential
- Priority will be given to Canadian citizens and permanent residents
- Security level required: Be eligible to obtain Reliability
- Relocation assistance may be provided, if required
- Please save a copy of the job poster. Once the closing date has passed, it will no longer be available.

**Hybrid Work Model **#LI-Hybrid**

The Bank offers work arrangements that provide employees with flexibility, enable high-performing teams, and support an excellent workplace culture. Most employees can telework from home for a substantial part of each month as part of the Bank's hybrid work model, and they are expected on site at the Bank location a minimum of eight days per