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Data Scientist, Product Data Science - (Remote - Canada)

Jobgether

Canada

Remote

CAD 60,000 - 100,000

Full time

10 days ago

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Job summary

An innovative talent matching platform is seeking a Data Scientist to join their Product Data Science team. This exciting role offers the chance to work remotely from anywhere in Canada and engage with cross-functional teams to drive product innovation. As a Data Scientist, you will design experiments, build predictive models, and create scalable data solutions that support strategic decisions for a leading fintech platform. If you are passionate about leveraging data to solve real-world challenges and thrive in a collaborative environment, this opportunity is perfect for you.

Benefits

Comprehensive health and life insurance
Retirement savings matching
20 vacation days annually
Unlimited sick and mental health days
$1,500 annual budget for wellness
Work remotely from anywhere in Canada
Option to work abroad up to 90 days per year
Inclusive workplace
Regular company-wide wellness days

Qualifications

  • Strong proficiency in Python and SQL with hands-on experience using data libraries.
  • Deep understanding of statistical inference, including Bayesian and frequentist methods.
  • Ability to communicate findings clearly to both technical and non-technical audiences.

Responsibilities

  • Partner with cross-functional teams to support 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.

Skills

Python
SQL
Statistical Inference
Machine Learning
Data Analysis
Communication Skills

Education

Bachelor's Degree in Data Science or related field

Tools

pandas
NumPy
scikit-learn
Cloud Data Warehouses

Job description

Data Scientist, Product Data Science - (Remote - Canada)

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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:
  • 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
  • Entry level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • Non-profit Organizations and Primary and Secondary Education

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