• Location: Budapest – Sanofi Business Services, Váci Greens
• Flexible working: 60% home office / week 
• Job type: Permanent, Full time

About the job

Reporting to the Real World Data (RWD) Science Manager, you will be an influential member of an Agile development team. You have a general understanding of machine learning and a deep understanding of the latest generative AI techniques and have a pulse on the evolution of the space.  You have played around with the latest AI tools, and can describe the underlying technologies and pros and cons of each.  You are comfortable rolling up your sleeves and working on projects  to build production-quality software and data pipelines. 

Primary Responsibilities 

• Propose innovative ways to look at problems using generative AI and machine learning 

• Apply advanced techniques to gather insights from text and table-based datasets 

• Track and monitor model and algorithm performance and provide recommendations for improvement 

•  Comfortable working as part of a software development team to deliver production-grade software 

•  Comfortable creating scalable data pipelines with appropriate monitoring and quality control   

• Collaborate with other Data Scientists and engineers on the team and share your Data science work broadly within the company 

About you

Experience

• 3+ years of experience in analytics and data science using traditional and machine learning techniques 

• Hands on experience building generative AI and ML applications in a production environment (full ML system development, deployment, and maintenance lifecycle) 

• Deep understanding of classic machine learning and GenAI techniques, models and tools 

• Ability to perform exploratory analysis and experiments using new techniques, define metrics, draw logical conclusions, and move experiments to production 

• Familiarity with knowledge graphs or LLM agents is a plus 
   

Education

• Master’s degree (or BS degree plus 2+ years equivalent experience) in computer science, applied mathematics, applied statistics, engineering, economics or similar quantitative field of study 
   

​Soft skills

• Excellent written and verbal communication, business analysis, data visualization and data storytelling skills

• A demonstrated ability to work and collaborate in a team environment

• Ability to work in a fast-paced, constantly evolving environment and to manage multiple priorities
   

Languages

• Fluent in English

Why choose us?

• An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team

• An attractive, market-oriented salary and cafeteria benefits

• Flexible home office policy, with a possibility to work up to 60% of time from home / where you can easily schedule your office days

• Work from an "Office of the Year 2020" finalist office