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About Jobgether
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
One of our companies is currently looking for a Data Scientist, Product Data Science in Canada.
This role offers the opportunity to work at the intersection of data, product, and strategy, helping guide high-impact decisions for one of Canada's most prominent fintech platforms. As a Data Scientist on the Product Data Science team, you will design experiments, build predictive models, and create scalable data solutions that support growth and product innovation. You'll collaborate closely with Product, Engineering, and Marketing teams to deliver insights and shape product development. If you're passionate about using data to solve real-world problems and want to be part of a purpose-driven mission, this role is for you.
Accountabilities:
This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.
Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.
Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.
If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.
Thank you for your interest!
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
One of our companies is currently looking for a Data Scientist, Product Data Science in Canada.
This role offers the opportunity to work at the intersection of data, product, and strategy, helping guide high-impact decisions for one of Canada's most prominent fintech platforms. As a Data Scientist on the Product Data Science team, you will design experiments, build predictive models, and create scalable data solutions that support growth and product innovation. You'll collaborate closely with Product, Engineering, and Marketing teams to deliver insights and shape product development. If you're passionate about using data to solve real-world problems and want to be part of a purpose-driven mission, this role is for you.
Accountabilities:
- Partner with cross-functional teams to support growth and product development initiatives through data
- Design, analyze, and interpret A/B tests to evaluate new features and business strategies
- Build and deploy machine learning models to improve product functionality and personalization
- Create reliable data models and pipelines that serve as a foundation for analytics and reporting
- Ensure robust documentation, testing, and version control of your code and models
- Translate complex data problems into actionable insights for stakeholders across the organization
- Promote a data-driven culture by sharing best practices and mentoring team members
- Strong proficiency in Python and SQL, with hands-on experience using libraries like pandas, NumPy, and scikit-learn
- Deep understanding of statistical inference, including both Bayesian and frequentist methods
- Knowledge of core machine learning techniques such as regression and decision trees
- Ability to communicate findings clearly to both technical and non-technical audiences
- Comfortable working in fast-paced, collaborative environments and adapting to evolving priorities
- Experience working with cloud data warehouses and applying software engineering best practices to data workflows
- Passion for continuous learning, team collaboration, and delivering meaningful impact through data
- Competitive salary with comprehensive health and life insurance
- Retirement savings matching through a flexible investment platform
- 20 vacation days annually, plus unlimited sick and mental health days
- $1,500 annual budget for wellness and professional development
- Work remotely from anywhere in Canada, with the option to work abroad up to 90 days per year
- Inclusive workplace with active employee resource groups
- Regular company-wide wellness days to recharge and reflect
This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.
Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.
Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.
If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.
Thank you for your interest!
Key Skills
Ranked by relevance
ai
machine learning
python
pandas
cloud
numpy
sql
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- Posted
- Apr 25, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Canada
- Company
- Jobgether
Industries
Non-profit Organizations
Primary
Secondary Education
Categories
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
AI Engineer I
2026-04-10
Full-time
Not Applicable
Brazil
Primary
Engineering
View Job Details
Related
IP Network Team Lead
2026-04-09
Full-time
Mid-Senior
Brazil
Non-profit Organizations
Information Technology
View Job Details
Related
PHP Developer
2026-04-09
Full-time
Entry
United States
Non-profit Organizations
Engineering