Senior Data Scientist with LLM and Machine Learning Expertise

Overview

Moss empowers finance professionals by automating daily financial tasks while enabling forward-looking decision-making. Recognized among Europe's leading startups, Moss fosters a collaborative culture driven by impact and growth, offering employees opportunities to thrive and advance their careers.

Job Responsibilities

• Lead and manage end-to-end large language model (LLM) and machine learning (ML) pipelines focused on tasks such as data extraction, classification, anomaly detection, and generating recommendations.
• Establish evaluation and monitoring frameworks encompassing creation of gold standard datasets, automated testing procedures, robustness verification, service level agreements (SLAs), and tracking of operational costs and latency.
• Collaborate closely with Platform and Data Engineering teams to deploy models into production environments, iteratively improve solutions, and ensure adoption by business stakeholders.

Candidate Profile

• Possesses 5 to over 10 years of hands-on experience implementing ML solutions in production, including ownership of shipped models and systems.
• Demonstrates practical expertise with LLM applications and agents in live settings, including usage of tools such as function calling, retrieval-augmented generation (RAG), structured data outputs, and guardrails.
• Strong proficiency in Python and associated ML libraries like scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow, combined with solid skills in experiment design and evaluation.
• Strategic problem-solving mindset with the ability to deeply comprehend ambiguous business challenges, frame effective data science approaches, rigorously validate assumptions, identify root causes, and prioritize impactful solutions.
• Fully capable of independently managing projects from concept through deployment, balancing technical performance with engineering feasibility, ensuring solutions are scalable, continuously monitored, and maintained through systematic evaluation and iteration.

About Moss

Moss is a Berlin-based SaaS scale-up employing more than 300 team members representing over 50 nationalities across five European offices. The company's ambitious goal is to digitize and AI-enable spend management for SMBs across Europe, currently serving over 5,000 businesses in Germany, the Netherlands, and the UK with products including corporate cards, accounts payable management, employee cash reimbursements, and procurement modules. Moss has secured €180 million in funding from top-tier investors such as Valar Ventures, Tiger Global, Global Founders Capital, Cherry Ventures, and A-Star.

What Moss Offers

• Competitive compensation at the top of the market, inclusive of equity options.
• Energetic office atmosphere promoting in-person collaboration with activities like weekly breakfasts and Friday demos.
• Supplementary benefits including 20 days allowance to work remotely from abroad, a €600 (or GBP equivalent) Learning & Development budget, and additional local perks.

Additional Information

All benefits apply specifically to full-time roles; interns and working students receive customized benefits packages. Applicants implicitly consent to the company's Data Privacy Policy by applying.