Data Scientist

Leap Tools

26d•$80,000 - $110,000•Remote

About The Position

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... [https://www.roomvo.com/my/rugdemo4r/] 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

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)

Responsibilities

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