Data Scientist, Product Data Science - (Remote - Canada)
Join to apply for the Data Scientist, Product Data Science - (Remote - Canada) role at Jobgether
Data Scientist, Product Data Science - (Remote - Canada)
Join to apply for the Data Scientist, Product Data Science - (Remote - Canada) role at Jobgether
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Description
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
- 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.
Requirements
- 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.
Benefits
- 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
Jobgether hiring process disclaimer
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!
Seniority level
Seniority level
Entry level
Employment type
Job function
Job function
Engineering and Information Technology
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