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# Senior Data Scientist

- **Company:** Tenth Revolution Group
- **Location:** Warsaw, IN, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Python (Programming Language), Machine Learning, NumPy, Standard Sql, Software Engineering, Large Language Models, Multi-Agent Systems, Prompt Engineering, Apache Spark, Model Validation, Generative AI, Pandas, Git Flow, Scikit Learn, Software Version Control, Databricks
- **Published:** August 24, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pelc7tjd28

## About the Role

* Master's or PhD and 5+ years of experience in Data Science or Applied ML.
 * Strong Python and SQL skills; experience with pandas, NumPy, and scikit-learn.
 * Hands-on experience with Generative AI, including embeddings, prompt engineering, tool calling, RAG, and agent frameworks such as LangChain, LangGraph, or PydanticAI.
 * Strong foundation in classical ML, model validation, metrics, and experimentation.
 * Experience with cloud platforms such as AWS and/or Azure, plus Databricks or Spark.
 * Good software engineering practices, including testing, documentation, and Git-based workflows.
 * Strong analytical, problem-solving, and stakeholder communication skills.
 * Fluent English.

## Description

* Translate business needs into data science problems, hypotheses, metrics, and evaluation plans.
 * Design and evaluate GenAI and ML solutions, including LLMs, RAG, agents, embeddings, forecasting, classification, and regression.
 * Build robust evaluation frameworks, including offline/online testing, human review, hallucination and groundedness checks, and error analysis.
 * Develop production-quality Python code with testing, documentation, version control, and reproducibility.
 * Monitor models and AI systems for drift, performance, cost, latency, and traceability.
 * Collaborate with product, engineering, data, and business teams to deliver production-ready solutions.
 * Communicate insights, risks, trade-offs, and recommendations clearly to stakeholders., Benefits may include private medical care, flexible benefits, insurance, pension contributions, home-office support, and additional paid holidays.


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