Data Scientist
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Job Location:
Monthly Salary:
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
We are banking at another level.
Choosing BDC as your employer means working in a healthy inclusive and skilled workplace that puts forward the best conditions to bring together unique teams where employees are empowered to act. It also means being at the centre of ambitious economic and financial projects to see further and to do things differently to fuel the success of Canadian entrepreneurs.
Choosing BDC as your employer also means:
Flexible and competitive benefits including an Employee Savings and Investment Plan where BDC matches part of your voluntary contributions a Defined Benefit Pension Plan a $750 wellness and health care spending account to name a few
In addition to paid vacation each year five personal days sick days as necessary and our offices are closed from December 25 to January 1
A hybrid work model that truly balances work and personal life
Opportunities for learning training and development and much more...
Explore the BDC Way in our Culture Book
POSITION OVERVIEW
The Data Scientist is responsible for developing advanced analytics and machine learning solutions that drive data informed decision-making across the organization. This role focuses on transforming complex data into actionable insights through statistical modeling predictive analytics and experimentation while partnering closely with business stakeholders data engineers and AI engineers. The Data Scientist plays a key role in bridging business problems with rigorous analytical solutions that are scalable interpretable and impactful.
CHALLENGES TO BE MET
Analyze complex largescale datasets to uncover insights trends and opportunities that support strategic and operational decisions.
Design develop and validate statistical models and machine learning algorithms for predictive descriptive and prescriptive analytics use cases.
Collaborate with business partners to frame analytical problems define success metrics and translate business questions into data science solutions.
Build and maintain end-to-end data science workflows from data exploration and feature engineering to model training and evaluation.
Partner with data engineers and AI engineers to productionize models and ensure scalability performance and reliability.
Conduct experiments (e.g. A/B testing causal analysis) to measure impact and support evidence-based decision-making.
Interpret and communicate analytical results clearly to both technical and nontechnical audiences through presentations dashboards and written documentation.
Ensure data quality reproducibility and adherence to data governance privacy and ethical AI standards.
Contribute to documentation best practices and knowledge sharing through internal wikis playbooks and analytics standards.
Stay current with advances in data science machine learning and analytics techniques and proactively propose improvements or new approaches.
WHAT WE ARE LOOKING FOR
Technical Proficiency:
Strong programming skills in Python and SQL; experience with data manipulation and analysis libraries (e.g. pandas NumPy scikitlearn).
Experience working with large datasets using Databricks notebooks and workflows. Understanding the advantages and limitations of distributed computing with Spark is essential.
Use of Git and Azure Devops (or equivalent such as JIRA) to track development and project coordination. Proficiency in data visualization and storytelling using tools such as Power BI Tableau or equivalent libraries. Capacity to properly present prescriptive recommendations rather than descriptive observations is essential.
Data Science & Analytics Expertise:
Solid foundation in statistics probability and machine learning techniques (e.g. regression classification clustering time series).
Experience with feature engineering model evaluation and model interpretability.
Familiarity with experimentation frameworks and causal inference concepts is required.
Collaboration & Communication:
Ability to translate complex analytical findings into clear actionable insights.
Strong stakeholder engagement skills with the ability to challenge assumptions and influence decisions using data.
Experience:
Minimum 3 years of experience in data science advanced analytics or a related role with demonstrated impact on business outcomes.
Education
Bachelors Masters or PhD in Data Science Statistics Computer Science Engineering Mathematics Economics or a related quantitative field.
Proudly one of Canadas Top 100 Employers and one of Canadas Best Diversity Employers we are committed to fostering a diverse equitable inclusive and accessible environment where all employees can thrive and feel empowered to bring their whole selves to work. If you require an accommodation to complete your application please do not hesitate to contact us at .
While we appreciate all applications we advise that only the candidates selected to participate in the recruitment process will be contacted.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
We are BDC, the Business Development Bank of Canada and the financial institution devoted to Canadian entrepreneurs. We help create and develop strong Canadian businesses through financing, advisory services and capital, with a focus on small and medium-sized enterprises.
