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# Sr. Data Scientist II

- **Company:** Akaasa Technologies
- **Location:** Raleigh, NC, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Automation of Tests, Information Leak Prevention, Software Debugging, Linux, Information Extraction, JSON, Python (Programming Language), Machine Learning, SQL Databases, Extensible Markup Language (XML), Feature Engineering, Pytorch, Prompt Engineering, Generative AI, Git, Semi-structured Data, Scikit Learn, Information Technology, Evaluation of Large Language Models, Tree-based Models
- **Published:** October 11, 2026
- **Apply:** https://www.careerjet.com/jobad/us7766f213d5df5ae968a4eba342811bec

## About the Role

* Bachelor's degree or higher in computer science, Data Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.
 * At least 3 years of relevant experience in data science, machine learning, or NLP, including hands-on experience developing LLM-based applications.
 * Strong Python programming skills and experience with SQL and structured or semi-structured data, such as JSON and XML.
 * Practical experience with prompt design, structured outputs, retrieval, and systematic LLM evaluation.
 * Understanding of statistical evaluation, train/validation/test separation, data leakage, and appropriate performance metrics.
 * Experience using Git, debugging existing code, and writing automated tests.
 * Ability to communicate findings clearly, incorporate feedback, and proactively raise delivery risks., * Experience with traditional machine learning, including feature engineering, classification, tree-based models, and imbalanced datasets.
 * Familiarity with scikit-learn, PyTorch, or comparable frameworks.
 * Experience fine-tuning transformer models for classification, information extraction, or sequence labeling.
 * Familiarity with AWS, particularly S3 and EC2, and Linux or GPU-based training environments.
 * Experience with legal documents, editorial workflows, or other accuracy-sensitive domains.