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Salary
≈ $88k – $199k per year (Estimated)
Location
Remote (Europe)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 20, 2026.

Overview
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Profile match
Bis zu 90% Zeit sparen durch automatisierte Buchhaltung mit künstlicher Intelligenz - Fin trennt Belege, liest Belegdaten aus & erstellt Buchungsvorschläge.

Finmatics - Your AI Accountant With Fin, the AI accountant, Finmatics makes accounting easier, faster, and smarter. Instead of manual routine tasks, our software handles them reliably-specifically designed for accountants in Germany and Austria. Our mission: To give back time, eliminate document chaos, and make workflows efficient, digital, and future-proof. At Finmatics, you get more than just innovative technology: you get an environment that promotes flexibility and gives you the space to contribute your ideas. Together, we ensure that smart technology feels like true relief-making Finmatics the favorite digital product of our customers.

We are looking for an accomplished and visionary Senior Data Scientist (m/f/d) to work on our exiting projects that deliver first-class solutions powered by modern language models. This role involves full command of the technical stack necessary for development and deployment, collaborative work with stakeholders, and making the footprint in the company’s data science strategy.

Your Key Responsibilities

  • Strategic Contribution:

    • Collaborate with leadership in helping to shape and implement the company’s data science strategy

    • Identify strategic opportunities to leverage data for business value

  • Technical Expertise:

    • Command the full technical stack required for development and deployment

    • Develop and maintain scalable machine learning models and systems

    • Ensure robust data management and engineering practices for efficient data pipelines

  • Stakeholder Collaboration:

    • Partner with cross-functional teams to gather requirements and provide insights

    • Communicate complex technical concepts also to non-technical stakeholders

Required Qualifications

  • Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related field or equivalent knowledge and experience

  • Proven experience (5+ years) in taking part and/or leading complex projects

  • Expertise in modern language models and machine learning frameworks

  • Practical experience with different LLM models of size and providers

  • Deep expertise in optimising LLM-based pipelines with regards to performance and costs

  • Mastering building agents across different tools and LLMs

  • Mastering LLM-based data capture and extraction

  • Experience with modern LLM-Supporting Frameworks and Tools

  • Proficiency in modern LLM Prompting techniques and approaches

  • Proficiency in building of evaluation pipelines with data-driven approaches

  • Experience with managing feedback training pipelines and fine-tuning

  • Strong command of programming languages such as Python, R or any strongly-typed computer language

  • Good knowledge of cloud platforms (AWS, GCP, Azure) and deployment processes

Preferred Qualifications

  • Familiarity with big data technologies like Spark or Hadoop or any other commercial Data Warehouse and/or Data Lake technologies

  • Strong background in data architecture and database management

  • Extensive experience with data management and engineering tools

  • Good knowledge of accounting and bookkeeping

Key Competencies

  • Excellent problem-solving and strategic thinking skills

  • Ability to innovate and drive process improvements

  • Strong communication and collaboration abilities

  • Commitment to ethical AI practices and data governance

What We Offer

  • Your Workplace: You work fully remote and flexibly from anywhere within Europe. We focus on results-not on where your desk is located.

  • Teamwork: Our culture is clear, direct, and appreciative. You will be part of a supportive team with flat hierarchies that grows together, even in a remote setting.

  • Structured Onboarding & Buddy: We won’t leave you hanging, even from afar. Your personal Buddy and our structured onboarding process ensure you find your feet quickly and start your journey well-connected.

  • Flexible Working Hours: You design your own schedule so that you can be productive while maintaining an optimal work-life balance.

  • Modern Equipment: You will receive a company laptop and modern technical equipment to ensure your home setup is just as efficient.

  • Company Events: Our company and team events take place in Vienna. Remote colleagues are, of course, warmly invited to join us!

  • The minimum salary for this position is € 65.000,- overpayment possible depending on qualifications

Join us and help shape the future of data science!

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