Roofr

Data Scientist

Roofr

full-time

Posted on:

Location: 🇨🇦 Canada

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Job Level

Mid-LevelSenior

Tech Stack

CloudPythonSQL

About the role

  • As a Data Scientist, you’ll be both strategic and hands-on, applying advanced analytics to solve high-impact business problems.
  • Typical responsibilities include:
  • Conduct exploratory data analysis to identify patterns and trends in large datasets
  • Design, model, and deploy datasets for continuous and reusable analysis
  • Design and execute statistical experiments, A/B tests, and hypothesis testing
  • Build predictive models using regression analysis, time series forecasting, and statistical techniques, and other predictive techniques
  • Create comprehensive reports and visualizations to communicate findings to stakeholders
  • Partner with business teams to translate questions into analytical frameworks
  • Ensure data quality through validation, cleaning, and preprocessing
  • Provide recommendations based on statistical evidence and data analysis
  • Monitor and analyze key business metrics and identify significant changes or trends

Requirements

  • 3–6 years in data science, analytics, or related roles in SaaS/AI, startups, venture, or consulting (early-stage/high-growth preferred)
  • Statistical expertise: Strong background in regression, categorical data analysis, experimental design, and survey development
  • Machine learning & AI: Practical experience applying ML and/or LLMs for pattern recognition, predictive modeling, and business decision-making
  • Business acumen: Proven track record supporting Growth, Revenue, Sales, and product teams with high-quality data-driven insights that influence outcomes
  • Strong communicator: Ability to translate complex data into clear recommendations for stakeholders at all levels
  • Hands-on builder: Comfortable moving quickly in a startup environment, balancing quick wins with long-term scalable solutions
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