Senior Applied Data Scientist - Data Architecture & Feature Engineering

Keysight Technologies; Barcelona; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading technology company in Barcelona is seeking a Senior Applied Data Scientist to shape the data foundation powering AI model development. The ideal candidate will have a Master's degree and 5+ years in data science, with strong skills in Python, SQL, and data governance. Responsibilities include architecting scalable data infrastructures and supporting ML workflows, ensuring efficient data handling across various platforms.

Formación

• 5+ years of experience as an applied data scientist or hybrid DS / DE role.
• Expert proficiency in Python and SQL.
• Experience supporting ML workflows, MLOps, CI/CD.

Responsabilidades

• Architect and build scalable data lakes/databases for efficient cross-org data access.
• Develop and maintain ETL/ELT pipelines for structured and unstructured data.
• Present results and actionable recommendations to stakeholders.

Conocimientos

Python

SQL

Data manipulation libraries

Statistics

Data structures

Data governance

Feature engineering

Educación

Master’s in Data Science, Statistics, CS, EE, or related field

Herramientas

Snowflake

Spark

Kafka

Databricks

Hadoop

Azure

AWS

GCP

Descripción del empleo

Overview

Keysightis on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15, employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over countries. Learn moreabout what we do.

Ouraward-winningculture 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.

About Keysight AI Labs

Keysight accelerates innovation to connect and secure the world. Our solutions span wireless communications, semiconductors, aerospace & defense, automotive, and beyond. We combine measurement science, simulation, and advanced AI to help engineers design, simulate, and validate the world’s most advanced systems.

About the AI Team

Keysight AI Team pioneers scientific and secure AI — including physics-informed learning, test-and-measurement-augmented intelligence, and trustworthy ML for mission-critical industries. We collaborate across research, product and engineering teams to deliver cutting-edge AI capabilities baked directly into Keysight’s products.

About the Role

We are seeking a Senior Applied Data Scientist with strong data engineering 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.

Responsibilities

• Partner with internal experts to identify critical data sources and define ML-relevant features
• Architect and build scalable data lakes / databases for standardized and efficient cross-org data access
• Clean, align, normalize, and integrate data from simulations, measurements, and operational systems
• Develop and maintain reproducible ETL / ELT pipelines for structured and unstructured data using SQL, Python, Snowflake, and cloud-native workflows
• Perform EDA, feature engineering, regression, and dimensionality reduction to generate high-value insights
• Ensure data governance, lineage, metadata management, and compliance
• Support experiment design, hypothesis testing, and statistical modeling
• Work closely with ML engineers to accelerate model training, deployment, and ongoing monitoring
• Present results and actionable recommendations to product and R&D stakeholders

Qualifications

Required Qualifications

• Master’s in Data Science, Statistics, CS, EE, or related quantitative field
• 5+ years of experience as an applied data scientist or hybrid DS / DE role
• Expert proficiency in Python, SQL, and data manipulation libraries
• Strong background in statistics, algorithms, and data structures
• Experience with relational + NoSQL databases and designing scalable data architectures
• Hands-on experience with big data tools (e.g., Spark, Kafka, Snowflake, Databricks, Hadoop )
• Experience supporting ML workflows — MLOps, CI / CD, containerization (Docker / Kubernetes)
• Experience with cloud platforms : Azure / AWS / GCP
• Clear track record of driving data-to-value outcomes

Desired Qualifications

• Experience with measurement or simulation-heavy domains (e.g., wireless, electronics, semiconductor)
• Familiarity with deep learning frameworks and ML for time-series or unstructured data
• Visualization skills (e.g., Power BI, Tableau, Plotly)
• Knowledge of data governance, lineage, metadata management tools
• Experience with microservices and APIs
• Open-source contributions or publications

Careers Privacy Statement

• Keysight is an Equal Opportunity Employer.