Data Scientist (AI)

TL;DR

Data Scientist (AI): Designing and deploying end-to-end machine learning solutions for consumer intelligence with an accent on Natural Language Processing and Computer Vision. Focus on structuring text data, inferring product attributes, and automating visual tasks using computer vision.

Location: Bogota, Colombia

Company

NIQ is the world's leading consumer intelligence company, providing comprehensive consumer buying behavior insights through advanced analytics and state-of-the-art platforms.

What you will do

• Design and deploy end-to-end ML solutions for text extraction, attribute inference, and anomaly detection.
• Automate visual tasks using computer vision on millions of records.
• Optimize and maintain existing models to improve performance and maximize business impact.
• Collaborate cross-functionally with product managers, software engineers, and architects to translate ideas into scalable solutions.
• Integrate ML models into business processes and document development workflows for reproducibility.
• Communicate complex technical concepts effectively to non-technical stakeholders.

Requirements

• 3-4 years of hands-on experience in data science roles.
• Proficiency in Python and its data science ecosystem (NumPy, pandas, scikit-learn, TensorFlow/Keras).
• Strong expertise in Natural Language Processing (categorization, NER) and Computer Vision (image classification, object detection).
• Solid understanding of SQL and relational databases.
• Experience with version control systems (Git) and clean coding practices.
• English: C1+ proficiency (written and verbal) required.

Nice to have

• Experience with Azure ML Workspace or other cloud-based ML platforms.
• Experience with LLM tools such as PromptFlow, LangChain, and LangGraph.
• Familiarity with spaCy and Hugging Face Transformers.
• Experience collaborating with test and platform engineers in a professional environment.

Culture & Benefits

• Flexible working environment.
• Volunteer time off.
• Access to LinkedIn Learning for professional development.
• Employee-Assistance-Program (EAP).