As a Data Scientist in Product Analytics, you will analyze large datasets, improve user experience, conduct A/B tests, and collaborate with teams to drive product insights and customer engagement.
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, and ask you to complete a take-home assessment.
Steps 2 and 3: You attend two video interviews 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 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 [email protected].
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.
Top Skills
Dbt
Django
Matplotlib
Numpy
Pandas
Postgres
Python
Redshift
Scikit
Scipy
SQL
Superset
Similar Jobs
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
The Payroll & Benefits Coordinator will support payroll processing, benefits administration, and contractor lifecycle operations, ensuring accuracy and compliance.
Top Skills:
Remote.Com
Fintech • Financial Services
As a Security Engineer, you'll architect and maintain security systems, enhance security posture, manage incidents, and integrate AI tools for proactive security solutions.
Top Skills:
CrowdstrikeGoNode.jsPythonSlackSoarTerraformTerragruntTypescript
Fintech • Financial Services
As an Information Security Engineer, you will architect and maintain security systems, automate workflows, respond to incidents, and measure security operations effectiveness.
Top Skills:
CrowdstrikeGoNode.jsPythonSlackSoarTerraformTerragruntTypescript
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
