Data Scientist
Leap Tools
Data Science
Canada · Remote
Posted on Mar 18, 2026
Data Scientist
Canada - Remote
Product
Remote
Full-time
At Leap Tools, we are building the world's most advanced solutions for the interior décor industry. With customers in 80+ countries, our clientele includes Fortune 500 companies such as Home Depot, local retailers such as Alexanian's, and everything in between. We have been recognized as one of the fastest-growing tech companies by Deloitte for multiple years in a row, and we are looking for ambitious challenge-seekers to fuel our momentum and help us create an iconic global tech company.
About our product
Our technology lets you preview products in your own room before you buy them. Imagine you want to redesign your home and have been searching for new tiles for your kitchen, or a new rug for your living room. You definitely want to make sure it will look good in your space. We enable you to do that through our proprietary cutting-edge technology, presented in an extraordinarily simple and accessible way. Try our rug demo now! Simply upload a picture of your room using your mobile phone, and slide the rug under your coffee table:https://www.roomvo.com/rugdemo...
About you
You take pride in exceeding expectations. You love the satisfaction that comes from building and improving products using data and analytics. You uncover needs by listening closely and asking perceptive questions. You can translate these needs to analytical problems to address them. You pay close attention to details and it bugs you when others do not. You enjoy working with and manipulating data. You have a keen eye for how things should work and you use data to prove (or disprove) your assertions. You’re vigilant about keeping a high bar of quality but you’re not afraid to try something new. You are excited to take on new challenges and be part of something small that is growing into something big.
We hire humans, not job descriptions. You should apply even if this role and salary range don't align with your experience. We’re happy to create unique roles and compensation for the right talent.
About our tech stack
Python (pandas, matplotlib, scikit, numpy, scipy), Superset, Redshift, PostgreSQL, Django, dbt
What you’ll do
- Use a variety of analytical and statistical approaches to solve key business problems, working with large and complex datasets
- Collaborate with product managers and engineers to analyze user behavior, product usage, and feature adoption to improve the product and the user experience
- Conduct and evaluate A/B tests and communicate results to drive product optimization and to empower customer-facing teams to drive adoption of new products / features
- Work with product managers to identify key product metrics and build dashboards for monitoring performance
- Proactively identify and interpret trends in the data to inform product development efforts, sales efforts and thought leadership in the home decor industry
- Utilize statistical methods and machine learning techniques for a variety of use cases, such as predicting future trends and customer segmentation
- Leverage our data to drive insights for individual customers, helping them understand user behavior and preferences for targeted marketing strategies
Requirements
- Distinctive work experience in data preprocessing, data wrangling, feature engineering, data analysis and statistical modelling, delivering polished customer-ready insights
- Exceptional attention to detail and focus on quality
- Excellent communication to convey complex findings to non-technical stakeholders
- Comfortable engaging with customers and senior executives
- Technical background, demonstrated through a degree in statistics, mathematics, or other related technical field, or alternatively through relevant work experience
- Proficiency in data querying languages (e.g., SQL) and at least one scripting language used for analysis (e.g., Python)
About our culture
- We're a remote-first company that encourages our employees to work from where they're most productive.
- We work in tight-knit teams to cultivate an ownership mentality.
- We cherish curiosity and an obsession for details because we know these details are invaluable over the long run.
- We're hyper-focused on our achievements and our ability to execute our promises. We act with urgency.
- Work anywhere in the world for up to 3 months!
- We value families, by offering a parental leave program
- We offer a work-from-home stipend
- Your birthday (and our company's birthday) is a day off!
About our hiring process
Now: You upload your resume and complete a brief questionnaire.
Step 1: We arrange a video call with you to assess your abilities.
Step 2: Complete a take-home assessment.
Step 3: You attend the second video interview soon after.
Step 4: You meet one of the founders.
Step 5: You receive an offer.
AI in Recruitment - At Leap Tools, we leverage AI technology to enhance our recruitment process. These tools assist with tasks such as resume screening, sourcing prospective candidates, and to support administrative tasks for enhanced operational efficiency. Founders and senior leadership are directly involved in our recruitment process, and AI is never used to make the final hiring decision. We are committed to the responsible use of AI in our hiring practices.
Expected cash compensation range, Ontario based: $80,000 - $110,000 + other benefits.
We value exceptional talent above all else. If your expectations or seniority sit outside the stated range, you should still apply. We can scale roles and compensation to match your unique situation.
This is an existing vacancy on the team.
Leap Tools is an equal opportunity employer committed to fostering an inclusive, equitable, and accessible environment. Accommodations are available on request for candidates taking part in all aspects of the interview process. If you require any accommodation, please contact us at ta@leaptools.com.
Take the Leap. Apply now.
Our demo, in case you missed it: https://www.roomvo.com/rugdemo4r
You should apply to this job even if you don't fit this role perfectly because we can create a new role for you with corresponding compensation.
First name *
Last name *
Email *
LinkedIn URL
Resume *
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Cover letter
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What is an app that you love? Why do you love it? What would you change about it? How would you prioritize your proposed changes? *
Tell us about a project where your data analysis directly impacted a business. *
Please describe a complex data manipulation or modeling technique you used to derive insights or build a model. *
Give an example of an integer value of n for which the following code will raise an exception *
p = 0
for i in range(n):
if n % 3 == 0:
q = i + 4 if n < 40 else None
else:
q = i + 40
p += float(q) / 1000
Req ID: R56
