Job Description Insight Global is hiring a Data Scientist sitting onsite in Reston, VA. This individual will: - Leverage GPU hardware to test and develop against the latest open-source data models, ensuring performance and scalability in high-volume environments. - Integrate models from external sources (e.g., Happyface) into secure networks, enabling real-time experimentation and deployment within mission-critical systems. - Apply advanced models for tasks such as data cleaning, summarization, question answering, and natural language processing (NLP), tailored to client-driven use cases. - Evaluate model performance and determine production readiness based on testing outcomes and alignment with client objectives. - Collaborate with application developers to build end-user applications around validated models, ensuring seamless integration with endpoints and data ingestion pipelines. Compensation: $70.52/hr to $81.73hr. Exact compensation may vary based on several factors, including skills, experience, and education. Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements - Active TS/SCI security clearance - Bachelor’s Degree and 3+ years of experience in applied data science or ML roles using Python - 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining - Experience with production-level systems, data lake environments, and streaming data (Kafka experience is a plus) - Experience implementing end-to-end ML workflows from data prep to deployment and evaluation - Ability to quickly learn infrastructure or systems concepts, including how pipelines interface with data lakes - Ability to design, implement, and iterate on ML models for document classification, extraction, summarization, and search - Ability to take ownership of data science workflows that interact with a production system streaming millions of documents per week - DoD 8570 Compliant Security+ or CISSP Certification (Highly preferred; will need to obtain within 6 months) - NLP or LLM implementation experience - Hands-On Kubernetes experience – containerizing dependencies, etc. - Experience in collaborating with MLOps and infrastructure engineers to ensure robust model deployment, monitoring, and retraining pipelines - Experience supporting platform components such as documents indexing or search, GPU workloads, and distributed storage, including Cloudera - Experience in the development of algorithms leveraging R, Python, SQL, or NoSQL - Experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL  - Experience with visualization packages, including Plotly, Seaborn, or ggplot2