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# Senior Data Scientist

- **Company:** MEGAN GOSS, D C, LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, A/B Testing, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Code Review, Encodings, Continuous Integration, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Deep Learning, Generative AI, Information Technology, CrewAI, Xgboost, Machine Learning Operations, Tree-based Models, Databricks
- **Published:** October 16, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/ps06iybd3n

## About the Role

* Bachelor's or Master's degree in Computer Science, Data Science,
 * Statistics, Mathematics, Engineering, or a related quantitative field.

Experience:

 * 6+ years of professional experience in data science or applied machine learning roles.
 * Demonstrated experience delivering regression and/or classification models in production environments.
 * Hands-on experience building and deploying LLM-based or Generative AI applications.
 * Hands-on experience with agentic frameworks such as CrewAI, LangChain Agents, LangGraph or similar multi-agent orchestration frameworks.

Skills

 * Strong proficiency in Python
 * Solid foundation in statistics, regression, classification and other classical ML techniques.
 * Hands-on experience with LLMs and Generative AI, including prompt engineering, RAG, fine-tuning and evaluation.
 * Experience building multi-agent systems using frameworks such as CrewAI, LangChain/LangGraph or similar.
 * Familiarity with vector databases and embedding pipelines.
 * Experience deploying ML/LLM solutions in production with MLOps practices (e.g., MLflow, CI/CD) on cloud platforms (AWS/Azure/GCP/Databricks).
 * Strong problem-solving and cross-functional communication skills.

## Description

* Develop and deploy AI solutions across ML and other genAI use cases.
 * Design, build, validate and optimize predictive models including regression, tree-based models, ensemble methods, gradient boosting and deep learning architectures where appropriate.
 * Develop and deploy LLM-based and Generative AI solutions, including retrieval augmented generation (RAG), prompt engineering, fine-tuning and agentic workflows.
 * Build multi-agent systems and tool-integrated AI solutions for analytics automation, insight generation and conversational interfaces.
 * Apply statistical analysis, hypothesis testing and experimental design (including A/B testing) to inform business decisions.
 * Collaborate with cross-functional teams
 * Ensure production readiness through monitoring, model governance, performance tracking, retraining strategies and documentation.
 * Analyze structured and unstructured datasets to generate actionable insights.
 * Communicate analytical findings and technical concepts clearly to cross-functional stakeholders.
 * Contribute to code reviews, best practices and continuous improvement of AI infrastructures.
 * Independently manage projects in environments with evolving requirements and timelines.