<h3><strong>About us</strong></h3><p>Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.</p><p>Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.</p><p>We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.</p><p>Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.</p><h3><strong>Data Science Integrations team</strong></h3><p>Providing measurable KPI lifts is the goal of our platform, and most customers want to prove it running an A/B-test against either an in-house solution or one of our competitors. We have no doubts that our product discovery platform is the most effective on the market, and constantly prove it with huge conversion lifts in tests. </p><p>The Data Science Integrations team ensures that we run successful A/B tests at scale while minimizing manual engineering effort. The team owns the customer onboarding process from a data quality standpoint, verifies the quality of customer integrations and tracking, and ensures that Constructor algorithms work as expected when ramping out tests to live customers</p><p>The team consists of a mix of data analysts &amp; data engineers. As a member of the Data Science Integrations team, you will use world-class analytical, engineering and data processing techniques to build the foundational infrastructure, tooling and analytical capabilities to enable the business to move forward. You will be working with leading e-commerce companies in the world to make our platform work at 100%, collaborating with almost every engineering team at Constructor.</p><h3>Challenges you will tackle</h3><ul> <li>Take initiative and perform data exploration to understand user behavior, suggest opportunities for improving our recommender &amp; search systems, and implement pipelines for data delivery, as well as UX/UI changes.</li> <li>Ideate and deliver analytical insights to merchandizers to enable effective decision making and provide the best possible results during evaluation</li> <li>Help the Customer Success team to communicate with merchandizers, fulfill their needs during integration, and provide best results for online metrics</li> <li>Collaborate with the Customer Integrations team to make sure customers are integrated without bugs and with sufficient tracking to power data pipelines and models for search engine.</li> </ul><ul> <li>You are proficient in BI tools (data analysis, building dashboards for engineers and non-technical folks).</li> <li>You are an excellent communicator with the ability to translate business asks into a technical language and vice versa.</li> <li>You are excited to leverage massive amounts of data to drive product innovation &amp; deliver business value.</li> <li>Youre familiar with math statistics (A/B-tests)</li> <li>You are proficient at SQL (any variant), well-versed in exploratory data analysis with Python (pandas &amp; numpy, data visualization libraries). Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive).</li> <li>You are adept at fast prototyping and providing analytical support for initiatives in the e-commerce space by identifying &amp; focusing on relevant features &amp; metrics.</li> <li>You are willing to develop and maintain effective communication tools to report business performance and inform decision-making at a cross-functional level.</li> <li>Stack: athena/presto, python (notebooks), databricks, google analytics.</li> </ul>