Data Scientist, Product Analytics — Entry Level
The role involves designing and analyzing product experiments to study user behavior, engagement, and retention. The candidate will develop predictive models and define product metrics to provide actionable recommendations to stakeholders.
- Remote
- Canada
- Posted Aug 6, 2026
- 1 position
Job summary
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
What you’ll do
The role involves designing and analyzing product experiments to study user behavior, engagement, and retention. The candidate will develop predictive models and define product metrics to provide actionable recommendations to stakeholders.
Requirements
Requires a Bachelor's or Master's degree in Data Science, Statistics, Economics, Computer Science, or a related field. Proficiency in Python and SQL, along with a strong understanding of statistics and experimentation, is essential.
Listed skills
- Data visualizationPreferred
- SQLPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- SQL
- Statistical Analysis
- Experimentation
- Model Evaluation
- Causal Inference
- A/B Testing
- Product Analytics
- Scikit-learn
- Statsmodels
- Data Visualization
- Predictive Modeling
- Forecasting
- User Behavior Analysis
- Segmentation
Job areas
- Data & Analytics
- Technology
- Software
- Engineering
- Science & Research
Additional details
- Minimum education
- Bachelor’s degree
- Minimum experience
- 0+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Entry level