Company Description

A US-Swiss startup, which embarked on a mission to fully automate business finance function, is looking for top-performing and passionate Data Scientist.

Responsibilities

• Develop and deploy solutions for automating finance processes and solving business problems using LLMs, AI agents and predictive modeling techniques.
• Execute end-to-end data science process: from understanding business requirements, data discovery and extraction, model development and evaluation (LLM fine-tuning, RLHF, and RAG), to production implementation.
• Collaborate with cross-functional teams (business stakeholders, engineers, analysts) to define objectives, metrics, and deliver data-driven solutions.
• Provide expertise to simplify processes and evolve human experiences affected by interactions between data, algorithms, context, logic and interfaces.
• Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. 

Qualifications

• 5+ years of experience with end-to-end ML systems, including data processing, feature engineering and tuning of ML models, including LLM fine-tuning and RLHF - with both structured and unstructured data. 
• Expertise in statistical and machine learning techniques, including LLMs, Vision models, and Chatbots. 
• Deep knowledge of statistical software (e.g., Python, pandas, PyTorch, TensorFlow), HuggingFace transformers, and database languages (especially SQL).
• MS/PhD in Computer Science, Machine Learning, Data Science, or equivalent technical fields. 
• Very good verbal and written English communication skills.

If you

• want to invest your time and talent in creation of the future, where finance function is fully automated and drives business through deep-dive real-time analytics, modeling, and predictions;
• have a constant desire for learning and development as well as strong motivation for continuous improvement;
• feel intense itching for building simple and elegant solutions;
• like to work in a fun environment, be challenged and recognized for what you bring to the team, and be compensated based on company’s success;

then please apply for this position or e-mail to [email protected]