Senior Data Scientist - REMOTE @ Profession Services

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.
• 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 :

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 :

,[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.