Sr Data Scientist

Employment Type: Full time

Work Authorization Requirements: Authorized to work in Colombia without sponsorship

Language Requirements: Fluent English

About PRGX: PRGX is the general leader in source-to-pay data analytics and software, and tech-enabled profit recovery services. We provide software and services to maximize revenue recovery and drive margin improvement for our clients. For more information about PRGX, visit Duties & Responsibilities
- Design, develop, and deploy generative AI models for various applications with a focus on text generation and sematic entity extraction.
- Collaborate with stakeholders to identify business needs, define project scopes, and establish data-driven solutions.
- Mentor junior data scientists/interns, providing guidance on best practices and industry standards.
- Stay up to date with the latest research and advancements in Generative AI and related fields.
- Collaborate with other teams, such as engineering and product management, to integrate models into production environments.




- Establish and maintain documentation for models, algorithms, and processes.
- Ensure all projects meet quality, performance, and security standards.
- Communicate complex concepts and findings effectively to both technical and non-technical audiences.
- Master's degree in Computer Science, Statistics, Mathematics, or a related field required.
- Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI based solutions in production.
- Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc.
- Strong background in machine learning, deep learning, and probabilistic modeling.
- Proficiency in modern data science tools and frameworks, such as PyTorch, Tensorflow, JAX, Scikit-learn, and Keras.
- Experience designing and implementing large-scale data pip

📌 Data Entry (Medellín)
🏢 Solvo
📍 Medellín