Sr Data Scientist

Posted 15 Hours Ago
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Medellín, Antioquia, COL
In-Office
Senior level
Fintech
The Role
Designs, deploys, and maintains generative AI models focused on text generation and semantic entity extraction. Collaborates with stakeholders, engineering, and product teams to deliver production solutions using RAG, LLM fine-tuning, prompt tuning, graph RAG, and knowledge graphs. Develops scalable data pipelines, documents models and processes, ensures quality and security standards, communicates technical findings, and mentors junior data scientists and interns.
Summary Generated by Built In

Job Title 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 global 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 www.prgx.com.

Job 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. 

Knowledge & Qualifications

  • 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 pipelines and processing systems.
  • Experience working with server-side frameworks like FastAPI as well as API development, documentation, and versioning.
  • Familiarity with cloud platforms (AWS, GCP, or Azure), CI/CD tools (Jenkins) and containerization technologies (Docker, Kubernetes).
  • Strong programming skills in Python and experience working with version control systems (Git).
  • Excellent communication and teamwork skills.
  • Experience mentoring junior colleagues and interns

Our Commitment to Equal Opportunity

PRGX is an equal opportunity employer. We comply with all applicable local, national, and international laws regarding non-discrimination and equal employment. We do not discriminate based on any legally protected characteristic and are committed to fostering an inclusive, respectful, and equitable workplace. Reasonable accommodations are available for qualified individuals in accordance with local laws and best practices.

Physical Requirements

Ability to sit or stand for extended periods of time, manual dexterity for typing, writing, or using office equipment, visual acuity for reading screens and documents, ability to lift or carry light items such as laptops, and speech and hearing ability for calls, virtual meetings, and in-person communication

Data Privacy

Your personal data will be handled in accordance with applicable data protection laws.  We only collect information necessary for recruitment and will not share your data without your consent.


Skills Required

  • Master's degree in Computer Science, Statistics, Mathematics, or a related field
  • 3-5 years of experience as a Data Scientist or Machine Learning Engineer
  • Experience deploying Generative AI solutions in production
  • Experience with Retrieval-Augmented Generation, LLM fine-tuning, prompt tuning, Graph RAG, and knowledge graphs
  • Strong background in machine learning, deep learning, and probabilistic modeling
  • Proficiency with PyTorch, TensorFlow, JAX, Scikit-learn, and Keras
  • Experience designing and implementing large-scale data pipelines and processing systems
  • Experience with FastAPI, API development, documentation, and versioning
  • Familiarity with AWS, GCP, or Azure
  • Familiarity with Jenkins, Docker, and Kubernetes
  • Strong Python programming skills
  • Experience with Git and version control systems
  • Excellent communication and teamwork skills
  • Experience mentoring junior colleagues and interns
  • Fluent English
  • Authorization to work in Colombia without sponsorship
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The Company
HQ: Atlanta, Georgia
1,597 Employees
Year Founded: 1970

What We Do

PRGX is a Data Management company that receives a significant amount of Source to Pay and Supplier Management data--up to 7 petabytes each year. Using our proprietary technology, we ingest, compile and standardize this data resulting in real-time insights, improved efficiencies and cash. PRGX pioneered profit recoveries nearly 50 years ago and is now the global leader in source-to-pay data intelligence and margin expansion. PRGX empowers clients in more than 30 countries with the business intelligence to recover $2 billion in annual cash flow, unlocking value and improving the overall health of organizations across the world. We collaborate with supplier communities to realize improved profits and deliver the tools to optimize processes, finding immediate and lasting value. With end-to-end technology and deep vertical expertise that underpins our recovery, preventive, and analytics solutions, we provide the actionable insights to minimize leakage, optimize cash flow, and shape stronger, healthier businesses.

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