Senior Data Scientist

1 day ago

Remote, Czech Republic Profession Services Full time
  • Master’s/PhD in Data Science, CS, Statistics, or equivalent hands-on experience in a software company.
  • Proven experience with ML and LLMs (GPT, LLaMA, Mistral, Claude, etc.) and frameworks like LangChain.
  • Skilled in LLM prompting, fine-tuning, and managing training pipelines.
  • Strong programming in Python (R a plus) and experience deploying on AWS, GCP, or Azure.
  • Track record of delivering production-ready ML/AI solutions.

Bonus:

  • Experience with multiple LLM models/providers.
  • Familiarity with big data tools (Spark, Hadoop) or Data Lake/Warehouse systems.
  • Strong foundation in data architecture & engineering.

We’re looking for a talented Senior Data Scientist to join our partner in reshaping how finance teams work. Their AI-powered SaaS platform helps thousands of businesses eliminate manual accounting tasks so they can focus on what really matters, and you could be the one to make it happen.

Ready? Apply now and let’s build the future together

Benefits:

  • Be part of shaping the future of finance automation.
  • Annual salary: approx. €65,000 - €80,000 /year with overpayment possible depending on experience.
  • Work in a motivated, agile 2–4 person data science team.
  • Fully remote (Pleasant working atmosphere in central Vienna, with remote flexibility)
  • Open, transparent company culture with short decision-making paths.
  • Subsidized daily lunch (“Schrankerl”), free snacks & fruit, job ticket for Wiener Linien.
  • Regular company & team events.
  • Flexible working hours.


,[Drive innovation: Shape data science strategy and bring cutting-edge solutions into production., Hands-on modeling: Design, build, and deploy ML models and LLM-based solutions (GPT, LLaMA, Mistral, etc.) using frameworks like LangChain., End-to-end ownership: From data pipelines to deployment you’ll own the full technical stack., Close collaboration: Work in a tight-knit team of 2–4 people, side by side with engineers and product., Communicate impact: Translate complex technical concepts into business value for both technical and non-technical stakeholders.] Requirements: Data science, AWS, GCP, Azure, AI, Phyton, Big data, ML, LLM, LangChain, R, Spark, Hadoop, Data Lake, Data warehouse Additionally: Flat structure, Small teams, International projects, In-house trainings, Startup atmosphere, Mobile phone, Modern office, No dress code.

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