Data Scientist, Product Analytics
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. 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.
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
Benefits
- Parental leave program
- Work-from-home stipend
- Birthday off (and company's birthday off)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
