Clarity AI - Data Scientist
Requirements
• 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) • Experience in a start-up • MSc/PhD degree in CS/EE/STEM or related field • Experience with fintech/data products or sustainability/ESG domains.
Responsibilities
• Working as a Data Scientist you will be responsible for: • Data Scientist • 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 • Location 🌍 • The role is based in our tech hub in Madrid, Spain, but we are remote-friendly and open to the CET timezone +/- 2 hours. • Way of Working: Remote/Hybrid
Benefits
• 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 • Flexibility • Generous paid time off schemes, including vacation, sabbatical, religious observance and compensation days • Generous paid time off schemes • 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 • Professional development • Collaborative environment with multiple offices around the globe, regular team activities and events as well as employee-led resource groups • Collaborative environment
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