Data Scientist - Company Matching & Embeddings

About the role

Applaudo Studios, an AI-native company building AI-powered solutions, is hiring a Data Scientist in Lima. The role focuses on building and evaluating machine learning approaches for company and entity matching, using embeddings and LLMs to distinguish true matches from duplicates, lookalikes and unrelated entities.

Key responsibilities

• Build and evaluate ML approaches for company and entity matching, including embedding and LLM-based methods.
• Develop scoring and ranking methodologies to separate true matches from duplicates, lookalikes and unrelated entities.
• Work with messy data such as names, aliases, domains, websites, firmographic attributes, multilingual records and data hierarchies.
• Define benchmark datasets, metrics, baselines and error-analysis processes, and run experiments to validate hypotheses.
• Compare LLM-assisted approaches against lower-cost alternatives and consider inference economics and scalability.
• Analyse model behaviour, edge cases and trade-offs, and document both successful and unsuccessful experiments.
• Communicate findings and recommendations to engineering and business stakeholders.

Required profile

• 5+ years of professional data science / machine learning experience.
• Strong applied ML fundamentals and hands-on experience with embeddings, semantic similarity, LLMs, classification and NLP.
• Experience retraining or maintaining classification models in production, and strong experimental design and evaluation skills.
• Ability to evaluate model quality, understand scalability and ML inference costs, and communicate technical trade-offs clearly.
• Nice to have: entity resolution, ranking, retrieval or clustering techniques, Spark, Snowflake, Databricks or BigQuery, and multilingual dataset experience.

Required skills

• Excellent Python and SQL.
• Working knowledge of neural networks and transformer architectures.
• Hands-on experience with TensorFlow, PyTorch, PyCaret or equivalent ML frameworks.
• Strong English communication skills.