Top Tech Jobs & Startup Jobs

Apply statistical, predictive, and AI/ML techniques to large-scale datasets: design, train, evaluate, deploy models; build data visualizations and analytical products; process data on distributed and cloud platforms; collaborate with stakeholders to deliver operational analytic solutions.

Support critical mission systems by scoping analytical projects, developing workflow use cases, building metrics, dashboards, and visualizations, analyzing operational data for trends and improvements, and collaborating with policy and decision-making stakeholders to translate mission needs into actionable solutions.

Design and implement scalable ETL pipelines and incremental/batch data ingestion. Perform data transformation, validation, modeling, and preprocessing using Python and SQL. Build reusable Python automation packages, automate reporting and dashboards, and document data pipelines and technical procedures.

Perform large-scale data analytics for cyber threat and network analysis using Python and Spark. Develop automated analytical tools, perform network/protocol analysis, identify anomalies and threats, and collaborate with mission analysts using customer-specific cyber tools.

Provide advanced discovery support using machine learning, statistical analysis, scripting, automation, and TechSIGINT tools. Develop analytical prototypes, create data visualizations, automate workflows, and collaborate with analysts and mission stakeholders to identify patterns and drive investigations.

Support CNO mission areas by applying AI/ML and Python to develop automation and analytical workflows, perform collection processing and data analysis, create and maintain Jupyter Notebooks for prototyping, and collaborate with technical and operational stakeholders while rapidly adapting to changing mission priorities.

Perform access discovery and enablement for CNO missions using XKS and DX. Develop Python scripts, automation, and Jupyter notebooks to support analysis and analyst workflows. Identify access opportunities, build repeatable analytical workflows, and support follow-on mission activities.

Analyze large-scale datasets; design, develop, evaluate, and deploy AI/ML and predictive/statistical models; build data models, visualizations, and automated analytical workflows; process data using Spark and cloud platforms; apply TechSIGINT tools and provide discovery-focused analytical prototyping.

Design and automate scalable ETL/ELT and reporting workflows, perform data cleansing/validation/transformation, build reusable Python automation and SQL data-processing pipelines, support dashboard automation, improve data quality and reliability, and document data flows and processes.

Develop NLP and NER capabilities for LLM-based, Agentic AI solutions (e.g., LangGraph). Train and validate supervised and unsupervised models, build preprocessing and data-retrieval pipelines, perform automated knowledge extraction from multilingual unstructured text, integrate customer data sources, and ensure data quality, governance, and policy compliance to meet organizational and end-user needs.