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Data Scientist, Product Analytics - Entry Level
- Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. The Entry-Level Data Scientist will use statistical analysis and experimentation to improve product decisions, study user behavior, and develop analytical models to enhance customer outcomes.
Why Join Us
- Build real, production AI agents used by real users
- High ownership and impact
- Work at the intersection of AI, agents, and product
- Shape how people experience AI-driven job search
Responsibilities
- Design and analyze product experiments
- Study user behavior, engagement, and retention
- Develop segmentation, forecasting, or predictive models
- Define product metrics and evaluation frameworks
- Investigate causal drivers behind product outcomes
- Present findings and recommendations to stakeholders
Qualification
Required
- Bachelor's or master's degree in Data Science, Statistics, Economics, Computer Science, or a related field
- Strong Python and SQL skills
- Understanding of statistics, experimentation, and model evaluation
- Ability to communicate technical results clearly
- Ability to collaborate in a remote environment
Preferred
- Experience with causal inference or A/B testing
- Familiarity with product analytics and behavioral data
- Experience with scikit-learn, statsmodels, or visualization tools
- Interest in AI products and consumer technology
More about this job
Responsibilities
Design and analyze product experiments, study user behavior and retention, and develop analytical models such as segmentation, forecasting, and predictive models. Define product metrics, investigate causal drivers of outcomes, and present findings and recommendations to stakeholders.
Requirements
A bachelor's or master's degree in Data Science, Statistics, Economics, Computer Science, or a related field is required, along with strong Python and SQL skills and knowledge of statistics, experimentation, and model evaluation. Candidates should communicate technical results clearly and collaborate remotely; experience with causal inference or A/B testing and familiarity with product analytics are preferred.
Skills
- Python
- SQL
- Statistical Analysis
- Experimentation
- Product Analytics
- User Behavior Analysis
- Segmentation
- Forecasting
- Predictive Modeling
- Product Metrics
- Model Evaluation
- Causal Inference
- A/B Testing
- Scikit-Learn
- Statsmodels
- Data Visualization
Visa sponsorship
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Categories
- Data & Analytics
- Technology
- Software
- Science & Research
Keywords
- Data Science
- Product Analytics
- Python
- SQL
- Statistical Analysis
- Experimentation
- Product Experiments
- User Behavior
- Engagement
- Retention
- Segmentation
- Forecasting
- Predictive Modeling
- Product Metrics
- Evaluation Frameworks
- Causal Inference
- A/B Testing
- Model Evaluation
- Scikit-Learn
- Statsmodels
- Data Visualization
- Artificial Intelligence
- AI Agents
- Consumer Technology
- Behavioral Data