Data Scientist (Machine Learning)

Location: Lima, Peru

Company

AI-native technology organization that designs, builds, and scales AI-powered software solutions across data, cloud, development, and artificial intelligence.

What you will do

• Build and evaluate machine learning approaches for company and entity matching.
• Develop embedding- and LLM-based matching, scoring, and ranking methodologies.
• Work with messy, multilingual data including names, aliases, domains, websites, firmographic attributes, and hierarchies.
• Define benchmark datasets, baselines, metrics, test sets, and error-analysis processes.
• Design experiments, compare LLM-assisted solutions with lower-cost alternatives, and analyze trade-offs.
• Communicate findings, document experiments, and establish research and experimentation pipelines.

Requirements

• 5+ years of professional Data Science or Machine Learning experience.
• Strong applied machine learning fundamentals and experience with supervised and unsupervised learning, classification, and NLP.
• Excellent Python and SQL skills.
• Hands-on experience with embeddings, semantic similarity, LLMs, neural networks, and transformer architectures.
• Experience with TensorFlow, PyTorch, PyCaret, or equivalent machine learning frameworks.
• Strong experimental design, model evaluation, scalability, inference-cost awareness, and English communication skills.

Nice to have

• Entity resolution, record linkage, deduplication, ranking, or similarity scoring experience.
• Retrieval, clustering, or candidate-generation experience.
• Experience with Spark, Snowflake, Databricks, or BigQuery.
• Experience with company, domain, website, firmographic, or multilingual datasets.

Culture & Benefits

• High-performance culture centered on excellence, collaboration, respect, transparency, and efficient communication.
• Opportunities to learn quickly, take ownership, and work with multidisciplinary teams.
• Focus on modern ways of working and AI-native transformation at scale.