Senior Data Scientist
Summary
Senior Product Data Scientist with a decade of experience designing experiments and measurement systems for digital products serving millions of users. Trained as a physicist and published researcher, I bring domain-grounded rigour to product analytics, translating ambiguous questions into clean experimental designs and building telemetry infrastructure that teams can trust. I specialize in the full analytics lifecycle, from event instrumentation and A/B testing to behavioral modeling and executive decision support, with a track record of informing product decisions that delivered +28% growth in high-value users and +22% revenue per install.
Expectations
"I am looking for a Senior or Lead Product Data Science role where I can bridge the gap between complex behavioral data and high-level product strategy.
Having spent the last decade in EdTech and Gamingincluding a tenure in interim leadership reporting to the CFOI am at my best when I am designing experimental frameworks and telemetry architecture for products serving millions of users. I thrive in environments that value scientific rigor, utilize a modern data stack (Databricks, dbt, Python), and seek to move beyond simple 'vanity metrics' toward true causal inference and user lifecycle modeling.
My ideal next challenge involves a high-growth or mission-driven product (SaaS, EdTech, or Fintech) where I can take ownership of the analytics lifecycle, mentor junior talent, and provide the evidence-based insights needed to drive sustainable growth.
Employment Preferences
Spoken Languages
- English - Fluent
Expected Base Salary
**5,000 CAD
Expected Total Compensation
**0,000 CAD
Expected Hourly Rate
**8 CAD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- A
- B Testing
- Multivariate Testing
- Experimental Design
- Causal Inference
- Hypothesis Testing
- Statistical Significance Testing
- Power Analysis
- Randomized Controlled Trials
- Python
- Pandas
- NumPy
- Scikit-learn
- Statsmodels
- SQL
- PySpark
- Julia
- Logistic Regression
- Linear Regression
- Clustering
- Support Vector Machines
- Churn Prediction
- Predictive Modeling
- Forecasting Models
- Funnel Analysis
- Cohort Analysis
- User Segmentation
- Behavioral Analysis
- Event Instrumentation
- Telemetry Design
- KPI Development
- Metrics Definition
- Retention Analysis
- Monetization Analysis
- Player Lifecycle Analysis
- Databricks
- Dbt
- Git
- Tableau
- Periscope Data
- Data Modeling
- ELT Pipelines
- Product Analytics
- Statistical Modelling
- Data Visualization
- Dashboard Development
- Statistical Inference
- Regression Analysis
- Machine Learning
- Data Engineering
- Analytics Engineering
- Mentorship
- Leadership
- Stakeholder Management
- Executive Communication
- Team Management
- Cross-functional Collaboration
- Decision Support
- Product Strategy
- Growth Analytics
- Experimentation Platforms
- GrowthBook
- Optimizely
- Live Service Games
- Free-to-Play Games
- Educational Products
- SaaS Analytics
- User Engagement
- Conversion Optimization
- Revenue Analytics
- Scientific Computing
- Research
- Data Science
- Product Data Science
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