Data Scientist

This is a fully remote position, open to applicants in Peru.

📋 Description

• Develop and assess machine learning methodologies for the matching of companies or entities.

• Create embedding and LLM-based matching techniques.

• Formulate scoring and ranking strategies to accurately identify genuine matches while differentiating from duplicates, lookalikes, and unrelated entities.

• Handle complex datasets, including names, aliases, domains, websites, firmographic characteristics, multilingual records, and hierarchical data.

• Establish benchmark datasets, metrics, baselines, and processes for error analysis.

• Design and implement experiments to test hypotheses.

• Evaluate LLM-assisted methodologies against more cost-effective alternatives.

• Investigate model behavior, edge cases, and associated trade-offs.

• Take into account inference economics and scalability from the outset.

• Present experimental results and recommendations to engineering and business stakeholders.

• Independently create experimental pipelines and research methodologies.

• Thoroughly document both successful and unsuccessful experimental outcomes.

⛳️ Requirements

• Over 5 years of professional experience in Data Science and Machine Learning.

• Strong foundation in applied Machine Learning principles.

• Proficient in Python and SQL.

• Practical experience with embeddings and semantic similarity techniques.

• Hands-on experience applying LLMs to practical challenges.

• Familiarity with both supervised and unsupervised learning methods.

• Extensive experience in classification and natural language processing (NLP).

• Working knowledge of neural networks and transformer architectures.

• Experience with TensorFlow, PyTorch, PyCaret, or similar ML frameworks.

• Background in retraining or maintaining classification models in a production environment.

• Strong skills in experimental design and model evaluation.

• Experience in defining baselines, metrics, test sets, and conducting error-analysis.

• Capability to assess model quality and demonstrate measurable improvements.

• Solid understanding of scalability and the costs associated with ML inference.

• Proficient in English communication.

• Experience in entity resolution, record linkage, or deduplication (preferred).

• Familiarity with ranking and similarity scoring techniques (preferred).

• Experience with retrieval, clustering, or candidate-generation methods (preferred).

• Knowledge of LLM/embedding solutions optimized for cost and scalability (preferred).

• Familiarity with Spark, Snowflake, Databricks, or BigQuery (preferred).

• Experience dealing with company, domain, website, or firmographic data (preferred).

• Experience working with multilingual datasets (preferred).

• Strong analytical and experimental approach.

• Commitment to intellectual honesty and openness about negative results.

• High degree of autonomy and self-direction.

• Excellent written and verbal communication skills.

• Ability to justify technical recommendations to stakeholders.

• Strong problem-solving abilities.

• Comfort in managing ambiguity and large-scale datasets.

• Ability to balance model quality, cost, and scalability.

🏝️ Benefits

• Option for remote work.

• Opportunities for rapid learning and ownership of projects.

• Collaboration with high-performing teams.

• Investment in innovative working methods.