
Data Scientist
Posted Jun 16

Posted Jun 16
This is a fully remote position, open to applicants in Spain.
• Overseeing and managing machine learning and other data science solutions currently in production.
• Developing comprehensive machine learning models, including Large Language Models (LLMs) and agent systems that provide clear and accurate sustainability information to our clients.
• Independently analyzing intricate data sets.
• Engaging in the creation of proofs of concept.
• Continuously monitoring business requirements and opportunities.
• Interacting with a diverse range of stakeholders from various backgrounds.
• A minimum of 2 years of experience in Data Science products or a PhD in ML / Applied Mathematics / Quantitative Research / Statistics / Computer Science, or a related discipline.
• Proficiency in the Python data science ecosystem (Pandas, Matplotlib, Scikit-Learn, etc.).
• Familiarity with collaborative code bases (Git) and production-level code (beyond notebooks).
• Strong foundational skills in software engineering (testing, code review, design, performance).
• Experience with LLM/Agent prompt/retrieval design, vector databases, tool usage/agents, evaluation, and safety/guardrails.
• A commitment to sustainability and making a positive impact.
• A willingness to learn and share your knowledge with others.
• A transparent communicator who values effective and constructive dialogue.
• Highly motivated, independent, and deeply passionate about making a difference through data and science.
• Excellent oral and written communication skills in English (minimum C1 level proficient user).
• Competitive compensation, including a solid base salary and equity plans that allow you to participate in our success.
• Flexibility in your working methods, including your schedule and location, whether you choose to work from home, the office, or remotely with access to a global network of co-working spaces.
• Generous paid time off policies, including vacation, sabbaticals, religious observances, and compensation days.
• Meaningful benefits such as private healthcare coverage, fitness and wellness programs through Wellhub, and allowances for setting up your home office and covering monthly expenses.
• Opportunities for professional development with an annual training budget for conferences, courses, certifications, and access to leading e-learning platforms.
• A collaborative work environment with multiple global offices, regular team activities and events, as well as employee-led resource groups.
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