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.

Job Title Data Coordinator Job ID 27776487 Work Remote Yes Location US Remote Data Coordinator I (Remote) About Us Truveris is a pharmacy cost containment company dedicated to reducing pharmacy costs and driving transparency for employers and benefit consultants. Our proprietary, data-driven technology and deep industry expertise empower smarter pharmacy benefit decisions through contract optimization and PBM oversight. Independent and unbiased, Truveris delivers measurable savings and accountability across every pharmacy program. For more information on our solutions, visit www.truveris.com. Position Summary The Data Coordinator I plays a critical role in ensuring the accuracy, completeness, and timely processing of client and third-party data to support our services. This role requires a high degree of analytical skill, problem-solving ability, outstanding communication skills, and independent judgment in coordinating data flows, resolving discrepancies, and supporting cross-functional teams. Over time, the Data Coordinator I develops expertise in healthcare data processes, Salesforce, data manipulation tools, and project management. Key Responsibilities - Facilitate onboarding of data for Truveris products and maintain and monitor client data feeds. - Analyze system results, resolve data conflicts, and evaluate content within data files. - Ensure that data files from third parties and internal groups contain all information necessary to perform our services and communicate missing data and issues to PBM partners. - Assist in new client setup, configure SFTP connectivity, and verify standardized data formats. - Manage files on SFTP and cloud shared drives. - Manage a personal daily work queue using Salesforce reports, balancing multiple requests from clients and internal teams simultaneously. - Request, track, and ensure receipt of data from third parties; document data flow in Salesforce and communicate task status clearly to cross-functional partners. - Identify and resolve issues and exceptions, escalating as appropriate. - Collaborate with cross-functional teams across the organization to support business objectives. - Assign tasks to contractors and monitor progress through completion to ensure alignment with project timelines. - Contribute to quality control efforts and identify process improvements. - Drive operational efficiency by optimizing workflows, with the successful delivery of company services relying on the timely and effective completion of these tasks. - Develop expertise in healthcare data processes, data manipulation tools, Salesforce, and project management over time. Required Qualifications - Bachelor's degree required. - 1–2 years of experience in a coordinator or administrative role, with experience handling files, folders, and projects from start to finish. - Strong interpersonal skills with effective written and verbal communication. - Basic working knowledge of Excel and comfort with personal computers; ability to learn new software tools quickly. - Analytical mindset with attention to detail. - Strong organizational skills and experience in process documentation. Base Salary Range: $50,000 annually An employee's pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, travel requirements, revenue-based metrics, any contractual agreements, and business or organizational needs. The range listed is just one component of Truveris's total compensation package for employees. Truveris provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

• Own the roadmaps for the data science and research and development (R&D) subdomains of DnA • Partner with key stakeholders in compliance, data, engineering, insurance, revenue and security to translate business needs into data science and R&D priorities • Clearly communicate strategy, progress, risks and recommendations to executive audiences, technical teams and non-technical stakeholders • Guide data science and R&D subdomains through complex tradeoffs involving business impact, explainability, regulatory considerations, rigor, scalability and speed • Champion a culture of accountability, collaboration, continuous improvement and intellectual curiosity while ensuring the team remains focused on enterprise priorities rather than isolated technical outputs • Serve as a senior-level people leader within DnA; responsible for career development, performance expectations and succession plans that support sustainable growth • Evaluate and improve the tools, processes, metrics and partnerships needed to scale data science and R&D capabilities efficiently across Coterie