At Roofr, we're obsessed with our customers. We constantly gather feedback to shape, prioritize, and launch the products they truly need. That's what makes Roofr's CRM special. We started by building essential sales tools like aerial roof measurements and digital sales proposals. But when our customers asked for a simple, affordable way to manage and scale their entire businesses, we listened. So, we created a CRM that connects these solutions—along with payments, material ordering, and more—into a seamless, powerful platform. With a clear roadmap ahead, we're excited to continue expanding and leading the market with innovative products.

We have an amazing culture, strong financials, and best-in-class company metrics. It's an exciting time to be part of an extraordinary startup that is already successful, yet still early enough to offer its team significant growth, equity, and the opportunity to make a real impact.

As a Data Scientist, you'll play a critical role in shaping how we leverage data to drive product, customer, and business decisions. You'll partner with Product, Growth, Finance, Marketing and Revenue teams to uncover insights, design experiments, and build models that directly impact strategy and execution.

What You'll Get to Do

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

What You'll Bring to the Role

• Experience: 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

Tech Stack & Tools You'll Use

• Languages & Programming: Python, R, SQL, DBT
• Analytics & Modeling: Statistical modeling, customer segmentation, categorical data analysis, A/B testing, data analysis
• Data Visualization & Reporting: Sigma, Metabase, Excel advanced, survey development
• Applied ML: LLMs, sentiment analysis, predictive models for customer and market trends
• Data Management: Cloud-based data warehouses (e.g., Snowflake)

Nice-to-Haves

• Previous experience in PLG SaaS, Hybrid or early-stage investments
• Exposure to valuation, due diligence, or board-level reporting
• Ability to work across both technical product analytics and strategic growth initiatives

What we offer (US + Canada)

When you join our team, you're not just accepting a job. You're making a career move. Here's how we'll support you in doing some of the most impactful work of your career:

️ Vacation/Paid Time Off:

• 1st week of employment is mandatory PTO! Start your journey with Roofr by decompressing and recharging - we will see you in week 2!
• 1 Friday off per month (we call those our laundry days!)
• Company wide paid shutdown for the week between Christmas and New Years
• Flexible time off
• 80% employer paid benefits
• RRSP/401k match
• Generous Parental Leave policy

Perks:

• We host 2 retreats per year and great team building activities
• Ample learning and development opportunities to continue growing your career
• Home office setup stipend
• Internet and phone allowance
• Remote first culture
• Weekly Friday paydays!

AI Notice

At Roofr, we're big fans of AI. It helps us write job descriptions that don't put you to sleep, takes notes during interviews so we can actually listen, and even helps us track down awesome humans like you.

Feel free to use AI to prep, research, or get pumped up for your interview (we see you, ChatGPT power users ). But when it's time to chat, we'd love to meet you, not your AI alter ego. Bring your real, unfiltered self, we promise we will too.

And don't worry, a real, live human is behind every part of our process. Every application is reviewed by a real person, and you'll always speak with real humans throughout the interview process. No bots, just good people ️

• ️ Important Notice

We've been made aware of an individual impersonating Roofr using a fraudulent domain: roofrr.com (note the extra "r"). Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses, instant messaging platforms, or unsolicited calls.

To ensure your application is legitimate, please apply directly through our official careers page: https://roofr.com/careers*.*

If you receive any suspicious messages or have questions, reach out to us at talent@roofr.com*.*

Your safety and security are important to us — thank you for your vigilance!

Roofr is proud to be an equal opportunity employer. We are committed to equal employment opportunity in the workplace regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.