Data Scientist

Canada

Apply with AI Apply

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

CRM Software, Sales Tools, Business SoftwareIndustries

Requirements

Candidates should have 3-6 years of experience in data science, analytics, or related roles within SaaS/AI, startups, venture, or consulting, with a strong background in regression, categorical data analysis, experimental design, and survey development. Practical experience applying ML and/or LLMs for pattern recognition, predictive modeling, and business decision-making is required, along with proven business acumen in supporting Growth, Revenue, Sales, and product teams. Proficiency in Python, R, SQL, and DBT, along with experience in statistical modeling, A/B testing, data analysis, and cloud-based data warehouses like Snowflake, is essential. Nice-to-haves include previous experience in PLG SaaS, hybrid or early-stage investments, and exposure to valuation, due diligence, or board-level reporting.

Responsibilities

The Data Scientist will conduct exploratory data analysis to identify patterns and trends, design, model, and deploy datasets for continuous analysis, and design and execute statistical experiments, A/B tests, and hypothesis testing. They will build predictive models using various statistical techniques, create comprehensive reports and visualizations to communicate findings, and partner with business teams to translate questions into analytical frameworks. Responsibilities also include ensuring data quality through validation, cleaning, and preprocessing, providing recommendations based on statistical evidence, and monitoring and analyzing key business metrics to identify significant changes or trends.

Skills

Data Analysis

Statistical Modeling

A/B Testing

Hypothesis Testing

Regression Analysis

Time Series Forecasting

Data Visualization

Data Quality

Roofr

Sales platform for roofing contractors

About Roofr

Roofr provides a sales platform designed specifically for roofing contractors, helping them improve their sales processes and streamline operations. The platform offers several key products, including roof measurement reports that deliver accurate data within 24 hours, estimation tools that allow users to create quotes quickly, and professional proposal generation that enables roofers to share visually appealing proposals with clients easily. Roofr also includes a roofing calculator for lead generation and offers a variety of resources such as blogs and tutorials to support its users. Unlike competitors, Roofr focuses exclusively on the roofing industry, providing tailored solutions that save time and enhance professionalism. The company's goal is to simplify the sales process for roofers, making it faster and more efficient.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$42.6MTotal Funding

SERIES_ACompany Stage

Industrial & Manufacturing, Enterprise SoftwareIndustries

51-200Employees