Data Scientist

Rcstech

United States

Remote

USD 120,000 - 180,000

Full time

5 days ago
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Job summary

Rcstech is seeking a Senior Data Scientist focused on GenAI and reporting, with expertise in NLP, topic analytics, and scalable ML pipelines. You will develop production-ready models, work with LLMs, and collaborate with data engineers and product teams.

The role supports 100% remote work with a LATAM focus (Mexico/Argentina preferred), emphasizing strong Python and PyTorch/TensorFlow capabilities.

Qualifications

  • 5+ years in Data Science / ML / AI / NLP.
  • 4+ years building and deploying production ML models.
  • Strong Python
  • PyTorch or TensorFlow
  • SpaCy
  • LangChain or LangGraph
  • PySpark
  • Strong NLP + Topic Modeling + Classification + Clustering
  • Embeddings & Semantic Search

Responsibilities

  • Build AI/ML and GenAI solutions for Topic Analytics.
  • Work on NLP, text classification, topic modeling, clustering, and summarization.
  • Build scalable ML/NLP pipelines for large datasets.
  • Work with LLMs, embeddings, semantic search, and RAG.
  • Develop and deploy ML models in production.
  • Test and improve model accuracy and performance.
  • Work closely with Data Engineers, Product Managers, and Analytics teams.

Skills

Python
NLP
PyTorch
TensorFlow
LangChain
SpaCy
PySpark
Embeddings
Semantic Search
Topic Modeling
Classification
Clustering
Production ML

Tools

LangChain

Job description

Senior Data Scientist – GenAI & Reporting


100% Remote – LATAM (Mexico & Argentina is Preferred)


What You'll Do

Build AI/ML and GenAI solutions for Topic Analytics.


Work on NLP, text classification, topic modeling, clustering, and summarization.


Build scalable ML/NLP pipelines for large datasets.


Work with LLMs, embeddings, semantic search, and RAG.


Develop and deploy ML models in production.


Test and improve model accuracy and performance.


Work closely with Data Engineers, Product Managers, and Analytics teams.


5+ years in Data Science / ML / AI / NLP.


4+ years building and deploying production ML models.


Strong Python.


PyTorch or TensorFlow.


SpaCy.


LangChain or LangGraph.


PySpark.


Strong NLP + Topic Modeling + Classification + Clustering.


Embeddings & Semantic Search.


Good to Have

Experience with LLMs / Prompt Engineering / Fine-tuning / Evaluation.


RAG, Vector Search, AI Agents.


Customer Experience / Contact Center / Voice of Customer analytics.


Experience with enterprise SaaS environments.

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