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Data Scientist

Bluelabs

Full remote Today via WTTJ

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About the role

Join our team as a Data Scientist, where you will use your expertise in statistics, programming, and domain knowledge to solve complex problems and deliver value to our clients. You will work in a fast-paced, production-oriented environment and receive strong mentorship while having the opportunity to complete projects independently. Key missions: Concevoir, mettre en œuvre et livrer des produits et services d'analyse, y compris la construction de modèles prédictifs et d'outils de visualisation des données.. Collaborer avec des ingénieurs, des scientifiques des données, des chefs de programme et des parties prenantes externes pour résoudre des problèmes et créer des solutions proactives.. Documenter les processus et promouvoir de nouvelles approches pour soutenir l'excellence de l'équipe. Profile: - You have a proven track record using data-driven solutions to improve social outcomes - and bring a multidisciplinary approach to doing so - You are able to anticipate questions from your stakeholders while remaining objective in how you approach their unique challenges. You are experienced deriving value from imperfect data, but also know when to push the emergency stop button - You have experience that developed a variety of skills: whether thinking strategically about how to develop an enduring process, digging deep into a complex data analysis, or putting yourself in the shoes of an end-user to answer a question they didn’t know they had - you’re comfortable thinking from a number of different perspectives - 2+ years working in a quantitative production environment or a postgraduate degree in a quantitative field - Proven experience creating analytics output within a production-oriented team - Knowledge of experimental design and causal inference - Ability to effectively communicate and present technical concepts to a non-technical audience, both in writing and verbally - Expertise building predictive models using regression and machine learning techniques - Experience creating and delivering informative and engaging data visualizations using industry leading tools - Ability to manipulate data with SQL - A strong understanding of a statistical programming language such as R or Python - Experience in and ability to apply your knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.) both in your own work, and in the ability to guide others

Scraped 5/12/2026

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