Constructor

Constructor.io powers product search and discovery for the largest retailers in the world, like Sephora and Backcountry, serving billions of requests every year. The KPI optimization team plays a central role in implementing algorithms that optimize for business KPIs like revenue & conversions. We focus on metrics over features, arming our ranking algorithms with powerful capabilities that bring value to customers in the way they care the most about. We are looking to fill 2 roles: * ML Engineer -- Push the limit of what’s possible in real-time personalization to users throughout their searching and browsing experience, making the impact of personalization transparent to business users. You will build and deploy robust ML systems, optimize and test for lifts in business metrics like revenue, and collaborate with technical and non-technical business partners on developing analytical dashboards that explain the significance of the personalization to stakeholders. * Data Scientist -- Lead the design, analysis, and interpretation of experiments with sequential A/B testing that shape decision-making around search, browse & recommendation experiences in a data-driven manner, taking initiative and performing data exploration to understand user behavior, suggesting opportunities for improving our recommender & search systems, and implementing data delivery pipelines. Please send your CV to workable links above, including a short intro about you in the cover letter section (no need to be too formal); ping me with any questions at sasha@constructor.io.