> Markdown version of [/jobs/ext/3658036-data-scientist](https://www.wearedevelopers.com/jobs/ext/3658036-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** R C S Technologies Inc - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Data Analysis, Big Data, Cluster Analysis, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Search Technologies, SQL Databases, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Topic Modeling, Agentic-AI, Pandas, Pyspark, Scikit Learn, Kubernetes, Machine Learning Operations, Spacy, Databricks - **Published:** October 9, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pqeleecw2s ## About the Role 5+ years in Data Science / ML / AI / NLP. 4+ years building and deploying production ML models. Strong Python. Scikit-Learn, Pandas, NumPy. PyTorch or TensorFlow. SpaCy. LangChain or LangGraph. PySpark. Strong NLP + Topic Modeling + Classification + Clustering. Embeddings & Semantic Search. SQL + Large-scale data processing. AWS / Cloud experience. Good to Have Experience with LLMs / Prompt Engineering / Fine-tuning / Evaluation. RAG, Vector Search, AI Agents. SageMaker, MLflow, Kubeflow, Vertex AI, or Databricks. Customer Experience / Contact Center / Voice of Customer analytics. Experience with enterprise SaaS environments. ## Description 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.