> Markdown version of [/jobs/ext/3590453-lead-data-scientist](https://www.wearedevelopers.com/jobs/ext/3590453-lead-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). --- # Lead Data Scientist - **Company:** Lumen Solutions Inc. - **Location:** Reston, VA, United States - **Experience:** Expert - **Salary:** $26,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Software Code Optimization, Python (Programming Language), Machine Learning, Software Tools, Tensorflow, Standard Sql, Pytorch, Retrieval-Augmented Generation, Large Language Models, Apache Spark, Model Validation, Generative AI, Agentic-AI, Build Management, Machine Learning Operations - **Published:** October 5, 2026 - **Apply:** https://www2.jobdiva.com/portal/?a=yyjdnwtj1vk20likwp2a7oa2mc2scw064c948z22g23e046qehohegye8oqt3zi6&compid=0/jobs/27967177#/jobs/27967177 ## About the Role * Bachelor's degree in a related field (or equivalent experience). * 8+ years of experience in Data Science / Machine Learning. * Strong experience with LLM, Generative AI, and RAG. * Strong engineering skills and code optimization. * Hands-on experience with AWS stack (Bedrock, Lambda, Kendra, SageMaker). * Expertise in statistical modeling, ML algorithms, and data analysis. * Strong SQL and communication skills. * Self-driven with strong problem-solving ability. Preferred Skills: * Experience with Agentic AI. * Knowledge of MLOps and CI/CD pipelines. * Strong Python and ML frameworks (TensorFlow, PyTorch). * Experience with vector databases for RAG. * Familiarity with data engineering tools (Spark, pipelines). * Experience in Agile/SAFe environments. ## Description We are seeking a Lead Data Scientist to design, develop, and deploy AI/ML and Generative AI solutions for complex business problems. This role collaborates with business, product, and engineering teams to deliver scalable, high-impact data science solutions aligned with enterprise goals., * Build and deploy AI/ML models, products, and tools. * Develop LLM and RAG-based solutions. * Optimize code and ensure model performance and scalability. * Collaborate with engineering, product, and business teams. * Lead model evaluation, tuning, and deployment. * Utilize AWS services (Bedrock, Lambda, Kendra, SageMaker). * Identify gaps, troubleshoot issues, and implement solutions. * Mentor junior team members and drive best practices.