Senior Data Scientist – Topic Analytics, GenAI, Reporting

Job not on LinkedIn

🔥 0 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 13%

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.

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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

• Lead development of AI-powered Topic Analytics solutions using Machine Learning, Natural Language Processing, and Large Language Models • Design, develop, and evaluate model-based topic discovery, classification, clustering, and summarisation capabilities • Combine deterministic rule-based topics with ML/LLM-generated topics to improve coverage, flexibility, and accuracy • Build scalable NLP and GenAI pipelines for large volumes of customer experience and conversational data • Develop experimentation frameworks to benchmark and optimise topic quality, relevance, and business impact • Support increased Topic Analytics throughput and onboarding of larger enterprise customers • Contribute to research and innovation in Generative AI, NLP, Topic Analytics, and Customer Experience Intelligence • Collaborate with Data Scientists, Engineers, Product Managers, and Analytics teams across Mexico, India, and South America

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, or a related technical discipline, or equivalent practical experience • 5+ years of industry experience in Data Science, Machine Learning, Artificial Intelligence, or NLP • 4+ years of hands-on experience building and deploying production-grade ML models • Strong programming skills in Python • Experience with Scikit-Learn, Pandas, NumPy, PyTorch or TensorFlow, SpaCy, LangChain or LangGraph, and PySpark • Strong understanding of Natural Language Processing, Text Classification, Topic Modelling, Clustering Algorithms, Embeddings and Semantic Search, Statistical Analysis and Experimentation • Experience with Large Language Models, including prompt engineering, fine-tuning, evaluation, and optimisation • Experience in Customer Experience Analytics, Voice of Customer, Survey Analytics, or Contact Centre Analytics • Strong understanding of modern GenAI architectures including RAG, vector search, and agent-based workflows • Experience with Kubeflow, SageMaker, Vertex AI, Databricks, or MLflow • Experience building highly scalable analytics platforms and data pipelines • Strong communication skills • Experience in enterprise SaaS product development environments • Candidates must complete employment verification and background checks after accepting an offer • Verification of job titles and employment dates 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)