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Senior Data Scientist

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đŸ”„ 8 minutes ago

đŸ‡ȘđŸ‡ș Europe – Remote

đŸ’” $80k - $120k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Logo of Constructor

Constructor

201 - 500 employees

Founded 2015

☁ SaaS

đŸ€– Artificial Intelligence

đŸ›ïž eCommerce

💰 $25M Series B - Constructor on 2024-06

SaaS ‱ Artificial Intelligence ‱ eCommerce

Constructor is an AI-native, API-first platform that provides product search and discovery solutions optimized for e-commerce. The company offers a commerce reasoning engine and a suite of features — search, autosuggest, personalized recommendations, AI shopping agents, attribute enrichment, retail media, and cross-channel discovery — to help retailers and enterprises deliver personalized discovery experiences across onsite and offsite touchpoints. Constructor positions itself as a specialist in product discovery for both B2C and B2B retail, integrating with existing tech stacks and emphasizing transparent, explainable AI for merchandising and conversion optimization.

📋 Description

‱ 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 ‱ Ability to communicate insights clearly to both technical and business audiences ‱ Comfortable working independently with multiple stakeholders in a fast-paced environment ‱ Experience working in e-commerce or with large-scale user behavioral data ‱ Experience in customer-facing analytical work.

đŸ–ïž Benefits

‱ 🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact. ‱ 🎉 Regular team offsite events to connect and collaborate. ‱ 🌎 Fully remote team - choose where you live. ‱ đŸïž Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year. ‱ đŸ›‹ïž Work from home stipend! We want you to have the resources you need to set up your home office. ‱ đŸ’» Apple laptops provided for new employees. ‱ 🧑‍🎓 Training and development budget for every employee, refreshed each year. ‱ đŸ‘Ș Maternity & Paternity leave for qualified employees.

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