ppKeysight is on 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. Learn more about what we do. /ppOur 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. /ph3About Keysight AI Labs /h3pKeysight’s bAI Labs /b is a general RD group pioneering the integration of bmachine learning, generative AI /b into Keysight’s test, measurement, and design solutions. Our mission is to transform how engineers design, simulate, and validate advanced systems- from 6G and semiconductors to quantum and automotive - by embedding AI throughout our workflows. /ph3About the AI Team /h3pJoin Keysight's central AI Hub in the heart of Barcelona. We are expanding our newly formed AI Team. As part of this growing team, you will join a vibrant, cross-functional environment that brings together experts in ML engineering, data science, physics-informed modeling, and software development. You’ll work closely with domain experts across RF, EM, circuit design, and test measurement to accelerate scientific innovation through AI. /ph3About the Role /h3pWe are seeking a bSenior Applied Data Scientist /b with strong bdata engineering /b capabilities. You will explore complex engineering data, architect scalable data infrastructure, and shape the data foundation powering AI model development across Keysight products. This role bridges research and production, from data discovery to robust ETL/ELT pipeline design and feature creation for ML models.



/ph3Responsibilities /h3ulliPartner with internal experts to identify critical data sources and define ML-relevant features /liliArchitect and build scalable data lakes/databases for standardized and efficient cross-org data access /liliClean, align, normalize, and integrate data from simulations, measurements, and operational systems /liliDevelop and maintain reproducible ETL/ELT pipelines for structured and unstructured data using SQL, Python, Snowflake, and cloud-native workflows /liliPerform EDA, feature engineering, regression, and dimensionality reduction to generate high-value insights /liliEnsure data governance, lineage, metadata management, and compliance /liliSupport experiment design, hypothesis testing, and statistical modeling /liliWork closely with ML engineers to accelerate model training, deployment, and ongoing monitoring /liliPresent results and actionable recommendations to product and RD stakeholders /li /ulh3Required Qualifications /h3ulliMaster’s in Data Science, Statistics, CS, EE, or related quantitative field /lili5+ years of experience as an applied data scientist or hybrid DS/DE role /liliExpert proficiency in bPython, SQL, and data manipulation libraries /b /liliStrong background in statistics, algorithms, and data structures /liliExperience with relational + NoSQL databases and designing scalable data architectures /liliHands-on experience with big data tools (e.g., bSpark, Kafka, Snowflake, Databricks, Hadoop /b) /liliExperience supporting ML workflows — MLOps, CI/CD, containerization (Docker/Kubernetes) /liliExperience with cloud platforms: bAzure / AWS / GCP /b /liliClear track record of driving data-to-value outcomes /li /ulh3Desired Qualifications /h3ulliExperience with bmeasurement or simulation-heavy domains /b (e.g., wireless, electronics, semiconductor) /liliFamiliarity with deep learning frameworks and ML for time-series or unstructured data /liliVisualization skills (e.g., Power BI, Tableau, Plotly) /liliKnowledge of data governance, lineage, metadata management tools /liliExperience with microservices and APIs /liliOpen-source contributions or publications /li /ulpCareers Privacy Statement /ppKeysight is an Equal Opportunity Employer. /p /p #J-18808-Ljbffr

📌 Senior Applied Data Scientist - Data Architecture & Feature Engineering (Barcelona)
🏢 Keysight Technologies
📍 Barcelona