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Salary: USD 80,000 - 120,000 / annual
Constructor is a next-generation search and discovery platform for ecommerce, built to optimize revenue, conversion rate, and profit. The company has developed a proprietary search engine using transformers and generative LLMs, powering over 1 billion queries daily across 150 languages and 100+ countries for major retailers like Sephora, Under Armour, and Petco.
As a Senior Data Scientist, you will work across multiple teams analyzing data from some of the world's largest ecommerce companies. You'll apply statistics and machine learning to problems that directly impact business metrics like revenue and conversion rate.
Key responsibilities include: designing, running, and analyzing A/B tests to measure impact on key business metrics; applying statistical methods and machine learning to solve business and product problems; developing deep understanding of search, ranking, and personalization algorithms and how to evaluate and improve them; analyzing large-scale behavioral data to generate insights and recommendations; building analyses, models, and tools that help teams make better decisions; and communicating findings clearly to technical and business stakeholders.
Required qualifications: strong experience solving business problems using data science and statistics; solid SQL knowledge and experience with large datasets; strong Python skills (pandas, NumPy, scikit-learn, visualization libraries); deep understanding of A/B testing, experiment design, and statistical inference; understanding of machine learning systems (training, evaluation, tuning); and ability to connect model/algorithm performance to product funnels and business metrics.
Preferred experience includes ecommerce background, large-scale user behavioral data work, customer-facing analytical work, and familiarity with ranking, recommendations, or search relevance.
The role is fully remote with a global team. Benefits include competitive salary ($80k–$120k USD), stock options, unlimited vacation (minimum 3 weeks encouraged), work-from-home stipend, Apple laptops, annual training budget, and parental leave.
