Senior Applied Data Scientist — ML & NLP for Entity Matching

Applaudo; Colombia; On-site; COP 90,000,000 - 140,000,000; Full time

Job summary

Applaudo is seeking an experienced Data Scientist to lead applied machine learning projects, build and evaluate models on large, messy data, and optimize for real-world impact.

You will design experiments, work with embeddings, semantic similarity, NLP, and both supervised and unsupervised learning, and communicate results to stakeholders.

You will collaborate with engineering and product teams to deploy scalable solutions with attention to cost and performance.

Qualifications

• 5+ years of professional Data Science / Machine Learning experience.
• Strong applied ML fundamentals.
• Excellent Python and SQL skills.
• Hands-on with embeddings and semantic similarity.
• Practical experience applying LLMs to real-world problems.
• Experience with supervised and unsupervised learning.
• Strong experience with classification and NLP.
• Knowledge of neural networks and transformers.

Responsibilities

• Build and evaluate ML approaches for company/entity matching.
• Develop embedding and LLM-based matching approaches.
• Develop scoring and ranking methodologies to identify true matches and distinguish duplicates, lookalikes, and unrelated entities.
• Work with messy data, including names, aliases, domains, websites, firmographic attributes, multilingual records, and data hierarchies.
• Define benchmark datasets, metrics, baselines, and error-analysis processes.
• Design and execute experiments to validate hypotheses.
• Compare LLM-assisted approaches against lower-cost alternatives.
• Analyze model behavior, edge cases, and trade-offs.
• Consider inference economics and scalability from the beginning.
• Communicate experimental findings and recommendations to engineering and business stakeholders.
• Independently establish experimental pipelines and research approaches.
• Clearly document both successful and unsuccessful experiments.

Skills

Data science

Python

SQL

Embeddings

LLMs

NLP

Experiment design

Model evaluation

Communication

Tools

TensorFlow

PyTorch

PyCaret

Job description

Applaudo is seeking an experienced Data Scientist to lead applied machine learning projects, build and evaluate models on large, messy data, and optimize for real-world impact.

You will design experiments, work with embeddings, semantic similarity, NLP, and both supervised and unsupervised learning, and communicate results to stakeholders.

You will collaborate with engineering and product teams to deploy scalable solutions with attention to cost and performance.