Data Scientist

🕒 il y a 2 mois

🇪🇸 Espagne – Télétravail

⏰ Temps Plein

🟢 Junior

🟡 Intermédiaire

📊 Data Scientist

👻 Score fantôme 13%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Clarity AI

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2017

🤖 Intelligence artificielle

☁️ SaaS

💸 Finance

💰 €50 000 000 Venture Round - Clarity AI en 2021-12

Artificial Intelligence • SaaS • Finance

<company_name> est une plateforme native d'IA fournissant une intelligence extra-financière aux institutions financières, entreprises, gouvernements et plateformes de vente au détail. Elle combine la collecte de données propriétaires, un traitement alimenté par l'IA et une validation experte pour offrir des insights ESG, climatiques, de risque et d'impact transparents et explicables à grande échelle. Clarity AI propose des produits SaaS modulaires, des API, des flux de données et des solutions personnalisées pour la gestion de portefeuille, les risques et la conformité, le reporting et l'investissement à impact.

Description

• Monitoring and maintaining machine learning and other data science products already in production. • Building end-to-end machine learning models, Large Language Models (LLMs), and agent systems that deliver transparent, accurate sustainability data to our customers. • Analyzing complex data sets autonomously • Participating in the development of proofs of concept • Keeping always an eye on the business needs & opportunities. • Communicating with a diverse set of stakeholders with different backgrounds

🎯 Exigences

• 2 years of experience working in Data Science products or PhD in ML / Applied Math / Quantitative Research / Statistics / Computer Science … or any related field. • High level in the Python data science ecosystem (Pandas, Matplotlib, Scikit-Learn, …) • At least well acquainted with working in collaborative code bases (Git) and production code (beyond notebooks) • Solid software engineering fundamentals (testing, code review, design, performance). • Experience with LLM/Agent prompt/retrieval design, vector databases, tool use/agents, evaluation and safety/guardrails. • You care about sustainability and impact • You are willing to learn and share your own learnings • You are transparent and care about communicating effectively and constructively • Highly motivated, independent and deeply passionate about making an impact with data & science • Excellent oral and written English communication skills (minimum C1 level-proficient user)

🏖️ Avantages

• Competitive compensation, both in terms of base salary as well as equity plans that enable to you to share in our success • Flexibility in ways of working both in terms of your schedule as well as your location, whether you prefer to work from home, the office, or abroad with access to a global network of co-working spaces • Generous paid time off schemes, including vacation, sabbatical, religious observance and compensation days • Meaningful benefits including private healthcare coverage, fitness and wellness programs covered through Wellhub, working-from-home allowances to help you set up your home office and cover monthly expenses • Professional development with annual training budget for conferences, courses, certifications and access to top market e-learning platforms • Collaborative environment with multiple offices around the globe, regular team activities and events as well as employee-led resource groups