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Greeting from E-IT

Data Scientist

Location: Mexico, Argentina (remote)

Contract

Generative AI, LLM & Conversational Analytics The Team

Data Science at our organization brings together researchers, engineers and product teams to build adaptive, collaborative technologies focused on enabling action at all levels of an organization. This role will support Conversational Analytics and Generative AI initiatives by developing scalable data pipelines, prompt engineering approaches, sampling methodologies and Athena Studio workflows for large-scale conversational data.

Responsibilities

● As a Data Scientist on the Data Science team, you will develop machine learning, NLP and Generative AI solutions focused on conversational analytics and large language models.

● Design, develop, test and optimise prompts for Large Language Models (LLMs) using conversational datasets.

● Support prompt training and evaluation activities to improve accuracy, relevance and consistency of AI-driven outputs.

● Create scalable data pipelines for ingestion, transformation, sampling and processing of conversational and unstructured text data.

● Develop sampling methodologies for high-volume conversational datasets, including sampling within conversations and across conversations.

● Prepare and process conversational data for use in Athena Studio and related analytics workflows.





● Apply NLP and machine learning techniques for text understanding, classification, summarisation, pattern recognition and conversational insights.

● Run data science analyses and experiments independently while collaborating with engineering, analytics and product teams.

● Communicate technical methods, results and recommendations clearly to both technical and non-technical stakeholders.

Minimum Qualifications

●Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics or related technical discipline, or equivalent practical experience.

●5+ years of relevant work experience in Data Science, Machine Learning, Artificial Intelligence, NLP or analytics engineering.

●Hands-on experience with Prompt Engineering and Large Language Models (LLMs).

●Experience creating data pipelines, ETL/ELT workflows or data processing pipelines for structured and unstructured datasets.

●Experience working with conversational data, text analytics, customer interaction data or other large-scale unstructured data sources.

●Demonstrated proficiency in Python and SQL.

●Working knowledge of packages and frameworks associated with data wrangling, analysis and machine learning, such as Pandas, NumPy, Scikit-learn, SpaCy, TensorFlow, PyTorch, LangChain or LangGraph.

📌 Data Scientist (México)
🏢 E-IT
📍 México