Data Scientist, Generative AI, LLM, Conversational Analytics

Job not on LinkedIn

🔥 0 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Abstra

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2007

💼 Consulting

📦 Logistics

📣 Marketing

💰 $2.3M Seed Round - Abstra on 2022-01

Consulting • Logistics • Marketing

Abstra is a nearshore LATAM technology services company that provides staff augmentation, dedicated teams, software outsourcing, and managed IT services to U. S. and international clients. They deliver custom software development (web and mobile), UX/UI design, QA/testing, and platform & infrastructure work (DevOps/SRE), and offer Data & AI capabilities including data engineering, ML engineering, MLOps, and data science. Abstra emphasizes time-zone alignment, bilingual LATAM talent, cost-effective nearshore delivery, and long-term partnership models to help companies scale engineering capacity and accelerate roadmaps.

📋 Description

• 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 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, summarization, pattern recognition and conversational insights • Run data science analyses and experiments independently • Collaborate with Data Science, Engineering, Analytics and Product teams • Communicate technical methods, results and recommendations clearly to technical and non-technical stakeholders

🎯 Requirements

• 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 Pandas, NumPy, Scikit-learn, SpaCy, TensorFlow, PyTorch, LangChain or LangGraph • Experience using Athena Studio and AWS Athena for analytics or data processing workflows • Experience with prompt training, prompt evaluation, LLM evaluation frameworks or fine-tuning concepts • Experience in Natural Language Processing for text understanding, classification, summarization, recommendation/ranking systems or conversational analytics • Experience with AWS S3, AWS Glue, SageMaker, Databricks, Vertex AI or Kubeflow • Experience with embeddings, semantic search, vector databases, RAG patterns or representation learning for unstructured data • Ability to collaborate effectively with geographically distributed teams across near-shore and offshore locations • Successful completion of employment verification and background checks, confirming job titles and dates of employment with two previous employers

🏖️ Benefits

• Flexible working hours and hybrid/remote work options • Opportunities for professional growth and development • A collaborative and inclusive work environment • The chance to work on impactful projects with a talented team • Excellent compensation in USD • Hardware and software setup (mandatory)