Role Description Empower AI is AI for government. Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation. - Designs and develops statistical methods to evaluate and analyze numerical data using computer software, including MS Access, MS Excel, SAS, Oracle, SQL and/or other applications, for assigned projects. - Develops algorithms, models and/or projects. - Designs and develops innovative analytical approaches and predictive modeling techniques for reactive or proactive data analysis, statistical modeling, data mining, sampling, and study design. - Develops trend reports to identify potential program or systematic vulnerabilities. - Produces and submits required reports according to established time guidelines and maintains records according to quality management system requirements. - Communicates effectively with management, investigators, other Statisticians, as well as internal and external clients, including federal law enforcement offices, to provide reactive and proactive case development support and to fulfill law enforcement data requests. - Develops data analysis techniques to detect aberrancies in claims data and proactively seeks out and develops leads and cases received from a variety of internal and external sources. - Prepares, develops, and participates in variance training that pertains to different types of data analysis. - Validates data analysis results and analytically identifies violations of laws, guidelines, policies, and regulations. - Serves as a mentor to less experienced Data Analysts. - Provides guidance and leadership for the Data Analysis Unit, including assignment and monitoring of data analysis issues/workloads. - Develops, implements and ensures compliance with written procedures for the Data Analysis Unit. - Complies with various guidelines and directions regarding data analysis and data management. - Meets quality and production standards. - Coordinates data analysis activities for all internal and external stakeholders, including law enforcement and other analysts. Qualifications - Bachelor’s Degree in Statistics, Mathematics, BioStatistics, or a closely related field and/or quantitative field, such as Computer Science, Computer Engineering or Management Information Systems. - Statistical analysis experience, which may be gained during academic studies. - Experience using MS Excel, SAS, SQL and/or other applications to perform various types of data analysis, which may be gained during academic studies. - Strong oral and written communication skills, including presentation skills, and proficiency in performing multiple tasks in a changing environment. - Demonstrated ability to meet deadlines while working on multiple projects. Requirements - V: 10-15 Years Company Description Empower AI is proud to be recognized as a 2024 Military Friendly Employer by Viqtory, the publisher of G.I. Jobs. This designation reflects the company’s commitment to hiring and supporting active-duty and veteran employees. All hiring and promotion decisions at Empower AI are based on merit to bring the best talent available to contribute to our firm’s overall success. It is the policy of Empower AI not to discriminate against any applicant for employment, or employee because of age, color, sex, disability, national origin, race, religion, or veteran status. Empower AI is a VEVRAA Federal Contractor.

• Drive customer impact through analytics • Own end-to-end analytical work for existing and new utility customers • Solve customer problems by structuring and analyzing data • Analyze large, complex datasets from Overstory’s platform • Identify patterns across customer needs and translate them into opportunities for product development

Role Description This optical communications internship is ideal for students in electrical engineering, photonics, or information technology who want hands‑on experience with coherent optical systems, high‑speed data transmission, and advanced test and measurement solutions used in data centers and next‑generation networks. - Support measurement science activities for high‑speed and coherent optical communication systems - Work hands‑on in the laboratory, performing optical communication experiments and measurements - Operate and optimize optical test and measurement equipment and devices - Develop test automation scripts and workflows using MATLAB and Python - Collect, process, and perform initial data analysis of experimental results - Optimize test setups and perform measurement and analysis optimization - Document results in application notes and present technical findings Qualifications - Must Have - Enrolled in or admitted to a Master’s program in Electrical Engineering, Physics, Information Engineering, or a related field - Fundamentals of optical communications, including high‑speed or coherent optical systems - Hands‑on laboratory experience through lab courses or projects - Practical experience with fiber‑optic handling, including fiber facets and making fiber connections - Basic programming skills for test automation and data analysis (MATLAB, Python) - Strong analytical mindset and willingness to learn - Good English communication skills - Nice to Have - Experience with optical communication test equipment and instrumentation - Exposure to test automation, measurement optimization, or experimental analysis - Interest in standardization activities and technical documentation - German language skills (beneficial but not required) Company Description Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

• Manage end-to-end ML projects: problem definition → solution → testing → deployment → support. • Work with data engineers to build datasets and define data requirements, and assess feasibility, risks, and constraints • Work with data analysts to design and analyze A/B tests: metrics, splits, interpretation of results, and recommendations for deploying solutions. • Develop and train models (classic ML + DL), including solutions for text and image embeddings; conduct offline evaluation and error analysis. • Deploy the model and code to production (Python service), support releases and integrations. • Be responsible for model quality post-launch: metrics, monitoring, drift/degradation, improvement plans, and support procedures.