Senior Data Scientist, Consumer
New
Remote-first flexibility within CanadaFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 3–5+ years
- Required Skills
- PythonSQLData AnalysisMachine LearningA/B testingR
Requirements
- Advanced degree (Master’s or PhD) in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or related discipline.
- 3–5+ years of industry experience in applied data science, machine learning, or statistical modeling roles.
- Strong proficiency in Python or R, along with solid experience in SQL for large-scale data analysis.
- Proven experience designing and analyzing A/B tests and experimental frameworks in product-driven environments.
- Strong understanding of statistical inference, causal inference, and machine learning techniques.
- Experience working with large-scale consumer datasets and deriving actionable insights from behavioral data.
- Excellent communication skills with the ability to explain complex analytical concepts to non-technical stakeholders.
- Strong problem-solving mindset with a passion for product impact and user experience optimization.
- Experience in high-growth consumer tech or platform companies is a plus.
Responsibilities
- Build and apply advanced statistical models and machine learning solutions to analyze consumer behavior and improve product experiences at scale.
- Design, execute, and evaluate A/B tests and experiments to measure impact of product features and inform strategic decision-making.
- Partner with product and engineering teams to identify opportunities for improving engagement, retention, and user satisfaction.
- Translate complex data findings into clear, actionable insights for both technical and non-technical stakeholders.
- Develop predictive models and segmentation frameworks to better understand user behavior and lifecycle patterns.
- Work with large-scale datasets to generate dashboards, reports, and insights that support product strategy and experimentation.
- Contribute to the continuous improvement of data science methodologies, tooling, and best practices within the team.
View Full Description & ApplyYou'll be redirected to the employer's site
