Data Scientist, Product Analytics

Location

Remote | Canada

Job description

About us

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 that through cutting-edge computer vision 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:

At Leap Tools, we are building the world's most advanced solutions for the interior décor industry. Our customers include Fortune 500 companies such as Home Depot and local retailers such as Alexanian's. An important part of our business is dedicated to empowering small, independent retailers with innovative solutions to thrive in the digital marketplace.

We are one of the fastest growing tech companies according to Deloitte's Fast 50, and we are hiring ambitious and collaborative challenge-seekers to fuel our momentum and help us create an iconic global tech company.

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.

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 work in tight-knit teams to maximize speed and cultivate an ownership mentality .
• We cherish curiosity and an obsession for details because we know these details are invaluable over the long run .
• We promote an environment where ideas are challenged. The best ideas win!
• We're hyper-focused on our achievements and our ability to execute our promises. We act with urgency.
• It's not always about us. We give back to our community to ensure it can grow.
• We love to compete and have fun. Our game nights are legendary.

About our office and remote work

We are located in downtown Toronto with nearby access to both of the main subway lines. Currently, we are all working from home; we encourage our teams to work from wherever they are most productive, and many of us will continue to work from home in the future, either full-time or partially. While we're all working remotely, we've come up with a few ways to keep everyone on the same page, including a quick company-wide check-in every Monday, remote coffee breaks on Fridays, and ad hoc topical sharing sessions. Another big upside is you get to be around your pets and plants (if you have them).

About our hiring process

Now: You upload your resume and complete a brief questionnaire.

Week 1: We arrange a video call with you to assess your abilities.

Week 2 or 3: You attend the second video interview soon after.

Week 3 or 4: You meet one of the founders.

Week 4 or 5: You receive an offer.

Take the Leap. Apply now.

Our demo, in case you missed it:

Job tags

Salary