Senior Data Scientist – m/f/d

🔥 20 hours ago

🇦🇹 Austria – Remote

💵 €65k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Finmatics

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

☁️ SaaS

🤖 Artificial Intelligence

💸 Finance

SaaS • Artificial Intelligence • Finance

Finmatics is an Austrian software company that provides an AI-powered bookkeeping platform to automate invoice and receipt processing. Its AI extracts data from paper, PDFs and e-invoices, generates booking proposals, supports complex split bookings, and integrates with accounting systems like DATEV, SAP, Microsoft Business Central, BMD and RZL. Finmatics targets accounting firms and businesses with a SaaS solution that reduces manual effort and errors, improves efficiency (up to ~70% time savings claimed), and offers ISO 27001 and EU-hosting compliance for secure accounting workflows.

📋 Description

• Shape and implement the company’s data science strategy • Drive innovation focused on Generative AI and Agentic workflows • Identify opportunities to leverage data for business value and impact • Own the full technical stack for development and deployment • Design, build, and maintain scalable machine learning models and efficient data pipelines • Ensure robust data management and engineering practices • Collaborate with cross-functional teams to gather requirements and deliver insights • Communicate complex technical concepts to technical and non-technical stakeholders

🎯 Requirements

• Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related field, or equivalent knowledge and experience • Hands-on experience with Generative AI and Agentic Workflows • Proven experience participating in complex projects • Expertise in modern language models and machine learning frameworks • Experience with modern LLM-supporting frameworks and tools • Proficiency in modern LLM prompting techniques and approaches • Experience managing feedback training pipelines and fine-tuning • Strong command of Python, R, or another strongly typed computer language • Good knowledge of AWS, GCP, or Azure and deployment processes • Familiarity with Spark, Hadoop, commercial data warehouses, or data lake technologies • Background in data architecture and database management • Experience with data management and engineering tools

🏖️ Benefits

• Fully remote and flexible work from anywhere within Europe • Supportive team with flat hierarchies • Structured onboarding process and personal Buddy • Flexible working hours • Company laptop and modern technical equipment • Company and team events in Vienna, with remote colleagues invited