Hiring: Senior Data Scientist Company: Vantor Location: Reston, VA Job Posted Time: 2026-09-10 12:00:00 Employment Type: On-site Target Skills & Keywords : AWS, Azure, Databricks, Docker, ETL, Fine-tuning, GCP, Hadoop, Kubeflow, Kubernetes, LLM, MLOps, MLflow, Machine Learning, NLP, Python, RAG, SQL, SageMaker, Security Clearance, Spark, Vertex AI About the job Experience: •10 years of experience in data science, analytics, or a related technical field. •2 years of experience. Required Skills: •This position is fulltime on-site in Reston, VA. •Automate and optimize data extraction, cleaning, processing, and analysis tasks using scripting languages and ETL pipelines. •Process and analyze large-scale, structured and unstructured datasets using big data frameworks (e.g., Spark, Hadoop, or cloud-native equivalents). •Independently conduct end-to-end data science/engineering workflows with minimal supervision, from hypothesis generation to delivery of actionable insights. •Explore opportunities to combine graph technologies, machine learning, generative AI, and large language models to create new analytical capabilities. •Clearly document methodologies and findings in formal written reports and present outcomes to both technical and non-technical audiences. •Development of LLM-driven tools to automate summarization, tagging, and retrieval of internal data, reports, and documentation. •Integration of LLMs into workflows to streamline knowledge capture, institutional memory, and information sharing. Qualifications: •Current/active TS/SCI security clearance and be willing and able to obtain CI polygraph. •Master’s degree in data science, computer science, engineering, statistics, GIS, or related discipline. Degree can be substituted with an additional 2 years of experience. •Proficient in Python, SQL, and tools/libraries for data analysis, machine learning, and automation. •Demonstrated ability to independently conduct full-cycle data projects, from processing to reporting. •Strong verbal and written communication skills; able to explain complex findings clearly. •Operational familiarity with foundational LLM/NLP concepts and experience applying pre-trained models (e.g., GPT) for internal automation or data summarization. •Demonstrated capacity to work with minimal supervision and produce logically structured, actionable insights. •Demonstrated capacity to collaborate with business stakeholders to define analytical requirements and deliver data-driven solutions. •Demonstrated experience deploying graph databases or graph-based applications into production environments. •Expertise in advanced statistical and machine learning techniques, including NLP and unsupervised learning. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!