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

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
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.

Senior Data Scientist

Key skills