About the company
Constructor is a next-generation search and discovery platform for ecommerce, optimizing for revenue, conversion rate, and profit. The engine is built in-house using transformers and generative LLMs and handles over 1 billion queries daily across 150 languages and ~100 countries. U.S.-based company founded in 2019.
Responsibilities
- Design, run and analyze A/B tests measuring impact on key business metrics like revenue, conversion rate, and profit
- Apply statistical methods and machine learning to solve business and product problems
- Develop a deep understanding of how search, ranking and personalization algorithms work, and how to evaluate and improve them
- Analyze large-scale behavioral data to generate insights and recommendations
- Build analyses, models and tools that help teams make better decisions
- Communicate findings clearly to technical and business stakeholders
Requirements
- Strong experience solving business problems using data science and statistics
- Solid knowledge of SQL and experience working with large datasets
- Strong Python skills for analysis and modeling (pandas, NumPy, scikit-learn, visualization libraries)
- Deep understanding of A/B testing, experiment design and statistical inference
- Understanding of machine learning systems: how models are trained, evaluated and tuned
- Experience connecting model or algorithm performance to product funnels and business metrics
- Familiarity with ranking, recommendations or search relevance is a plus
- Ability to communicate insights clearly to technical and business audiences
- Comfortable working independently with multiple stakeholders
- Experience in e-commerce or with large-scale user behavioral data (preferred)
Conditions
- Fully remote team
- Unlimited vacation time (at least 3 weeks per year encouraged)
- Work from home stipend
- Apple laptops provided
- Training and development budget refreshed each year
- Maternity & Paternity leave
- Base salary: $80k–$120k USD
- Stock options
- Regular team offsites