
eCommerce ⢠SaaS ⢠Retail
PickyStory is a comprehensive e-commerce upsell platform that helps online retailers increase their sales and average order value through personalized product recommendations. The platform offers tools for creating custom bundles, upselling and cross-selling at strategic moments, and utilizing intelligent cart features to maximize revenue opportunities. It serves various industries including fashion, beauty, home goods, and more, by optimizing product discovery and enhancing the customer purchase journey.
April 26

eCommerce ⢠SaaS ⢠Retail
PickyStory is a comprehensive e-commerce upsell platform that helps online retailers increase their sales and average order value through personalized product recommendations. The platform offers tools for creating custom bundles, upselling and cross-selling at strategic moments, and utilizing intelligent cart features to maximize revenue opportunities. It serves various industries including fashion, beauty, home goods, and more, by optimizing product discovery and enhancing the customer purchase journey.
⢠We're an e-commerce startup with a successful SaaS product, looking for a data scientist. ⢠This is a full-time position aimed at experienced data scientists who're interested in joining a vibrant startup in the long term. ⢠Our product is live and growing fast. ⢠We're actively developing the core platform, adding new features, and updating our cloud infrastructure. ⢠If you join us, expect to make execute practical research methodologies, collect data, analyze it, and build ML/Statistical models to automate and personalize the shopping experience in merchant stores. ⢠In this role, you'll participate in the engine development of our core product. ⢠Develop new capabilities of our engine dealing with complex shopping experiences. ⢠Take advantage of the most advanced methodologies in ML and statistics. ⢠Design and develop new data-based features aimed at revenue optimization. ⢠Participate in the design of our AI solution for e-commerce. ⢠Collect, analyze, and sample data to create deep insights for merchants.
⢠5 years or more of data science experience working with large-scale data sets ⢠2 years or more of hands-on ML experience ⢠Full proficiency with SQL/R/Python or similar ⢠Strong mathematical/engineering/statistical or similar background ⢠E-commerce experience - big advantage ⢠MSc/PhD - advantage ⢠1 year or more employed fully remotely by international companies - advantage
⢠Participate in our ESOP plan.
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