Data Scientist

Power the Transformation : Data Scientist

Shack Shine is on a mission to revolutionize home services. We are transitioning into a

technology-first, membership-based business , and data is the fuel for that engine. We’re looking for a

Data Scientist

who is ready to move beyond just analyzing the past and start

predicting the future.

In this role, you won't just be crunching numbers; you’ll be building the brain of our franchise system. You will leverage

LLMs to automate the mundane , build

forecasting models that predict the next job , and use

Tableau to give our Franchise Partners a clear lens

into their business growth.

What People Say About You

You are a

curious problem-solver

who sees the story hidden in the data and has the technical chops to turn those insights into automated tools.

The Translator : You have a rare gift for taking complex model outputs and turning them into "plain-English" advice that a business owner can act on immediately.

The AI Enthusiast : You aren’t just reading about GenAI; you are excited to actually build LLM-powered tools that solve real-world operational headaches.

The Predictor : You’re obsessed with forecasting. You love the challenge of helping a Franchise Partner know exactly when they need to hire their next crew before the busy season even hits.

The Visual Storyteller : You don't just make charts; you design intuitive Tableau dashboards that make business owners feel in control of their own success.

The SQL Wizard : You take pride in clean, efficient data pipelines, knowing that great AI and insights are only as good as the data feeding them.

YOU'RE IMPACT AT SHACK SHINE

You will act as the bridge between raw data and our network of Franchise Partners, ensuring they have the proactive, predictive insights they need to scale.

Build the "Predictive Engine" : Maintain and evolve models that forecast seasonal demand and revenue. You’ll help our partners optimize their crew capacity and scheduling so they never miss a "WOW" moment.

Deploy GenAI Solutions : Be the architect of our LLM implementation. From automated lead qualification bots to internal knowledge retrieval systems, you will streamline how we support our customers and partners.

Design the Franchise Command Center : Own our Tableau performance suite. You’ll build the dashboards that allow partners to visualize their P&L, job completion rates, and CSAT scores against the best in the network.

Engineer Clean Data Pipelines : Write the SQL queries that aggregate data from our CRM and booking platforms, ensuring our datasets are robust, clean, and ready for high-level modeling.

Drive Executive Decision-Making : Provide the leadership team with actionable summaries that influence the strategic direction of the brand.

What You Bring To The Table

Proven Experience : 2–4 years of experience in Data Science, Business Intelligence, or a related field (Junior to Intermediate).

Modeling Mastery : Experience building predictive models (regression, time-series, etc.) to solve real business problems.

AI / LLM Curiosity : Practical experience or a strong portfolio of projects involving LLMs and Generative AI.

Visualization Skills : High proficiency in Tableau (or similar BI tools) with an eye for user-centric dashboard design.

Technical Toolkit : Strong SQL skills and experience with Python or R for data manipulation and modeling.

The "Play to Win" Mindset : You are comfortable in a fast-paced, evolving environment and want to see your work have a direct impact on the bottom line of small business owners.

Compensation & Benefits

Salary is $80,000 to $90,000 per annum (The actual salary offered will be commensurate with education, experience, and internal parity).

The Total Compensation Package includes Extended Health and dental. Focus on your development through our professional development programs. Enjoy a variety of health and wellness initiatives, including access to gym facilities at our corporate head office. Speak to us to learn more about what we offer.

Hybrid Work Environment

We have created a hybrid work model that helps us get together to Collaborate, Celebrate and Connect while enjoying the flexibility of working where it makes sense for you. For this role’s duty and responsibility, we anticipate that you will come into the office three days a week (Tuesday through Thursday).

The Hiring Process

Pre‑Screen – Let’s talk about your experience, goals & excitement for this role!

Interviews – We know this is as big of a decision for you as it is for us, which is why our interview process is designed to be both engaging and transparent.

References & Background Check

We use audio recording transcription for our interview practices

About Us

O2E Brands has been named one of Canada’s Best Workplaces 14 times and made Newsweek’s top 100 list of "Most Loved Workplaces" at #14, the only Canadian company!

Check out our culture on (YouTube) & social media!

We value diversity and inclusivity—accommodations available upon request.

➡️ Ready to take your career to the next level? Apply today!

Referrals increase your chances of interviewing at Shack Shine by 2x

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North York, Ontario, Canada .

Seniority level

Entry level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Consumer Services

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