Senior Data Scientist

Finmatics GmbH
Vienna, Austria
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
€ 65K

Job location

Remote
Vienna, Austria

Tech stack

Amazon Web Services (AWS)
Azure
Big Data
Data Architecture
Hadoop
Python
Machine Learning
Language Modeling
Software Tools
TensorFlow
Google Cloud Platform
Large Language Models
Spark
Generative AI
Data Lake
Information Technology
Data Management
Data Pipelines
Programming Languages

Job description

As a Senior Data Scientist (m/f/d), you will work on exciting projects that deliver first-class solutions powered by modern language models. You will have full command of the technical stack necessary for development and deployment, collaborate closely with stakeholders, and play a key role in shaping the company's data science strategy., * Shape and implement the company's data science strategy and drive innovation, with a primary focus on Generative AI and Agentic workflows

  • Identify opportunities to leverage data for business value and impact
  • Take ownership of 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 clearly to both 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 in taking part 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 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

Nice to Have

  • 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

About the company

The Future of Finance – today.
Finmatics is a fast-growing software as a service (SaaS) company
that provides artificial intelligence (AI) solutions to thousands
of businesses of all sizes. Our mission is to automate financial &
accounting processes to eliminate unnecessary manual tasks.

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