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

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)

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

Hybrid — Madrid, New York, London, Paris, Abu Dhabi

Location: Madrid, Spain
Way of Working: Remote/Hybrid
Open to CET timezone +/- 2 hours
Excellent oral and written English communication skills (minimum C1 level-proficient user)

Clarity AI is hiring a Data Scientist