Senior Data Scientist

About The Role

We are hiring Senior Data Scientists across multiple teams at Constructor. Wherever you land, you will work with data from some of the world's largest ecommerce companies, applying statistics and machine learning to problems that directly move business metrics like revenue and conversion rate.

Our data scientists design and analyze experiments, dig into how our ranking, personalization, and recommendation algorithms behave, and connect model performance to real business outcomes. During the interview process we will get to know your strengths and interests and match you with the team where you can have the biggest impact.

What You'll Do

• 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 our search, ranking, and personalization algorithms work, and how to evaluate and improve them
• Analyze large-scale behavioral data to generate insights and recommendations for customers and internal teams
• 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

Product & data understanding:

• 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

Communication & ownership:

• Ability to communicate insights clearly to both technical and business audiences
• Comfortable working independently with multiple stakeholders in a fast-paced environment

Preferred skills:

• Experience working in e-commerce or with large-scale user behavioral data
• Experience in customer-facing analytical work