Applied Data Scientist: Data Lakes, ML & AI for R&D

Anite; Santa Rosa (CA); Presencial; USD 118.000 - 196.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental and vision

401(k) Plan

Flexible Time Off

Tuition Reimbursement

ESPP

Descripción de la vacante

Keysight is seeking an Applied Data Scientist to design and deploy large-scale data architectures and ML models by integrating simulation and measurement data across domains. You will build robust data pipelines and collaborate with engineering and product teams to drive AI-enabled engineering tools.

The role emphasizes data exploration, feature engineering, and producing actionable insights for R&D initiatives.

Formación

• Master’s or PhD in Data Science, Computer Science, Electrical Engineering, Statistics, or related field.
• 1+ years’ experience as a Data Scientist / Applied Data Scientist.
• Proven ability to build and maintain scalable data infrastructures (data lakes, schemas, pipelines).
• Strong programming skills in Python (pandas, numpy, scikit-learn), SQL, and optionally C++.
• Proficiency with Snowflake, Databricks, or similar big-data environments.
• Hands-on expertise in tree-based ML techniques and statistical modeling.
• Familiarity with Bayesian Optimization and feature engineering for time-series or signal data.
• Ability to move fluidly between data exploration, engineering, and modeling tasks.

Responsabilidades

• Partner with internal engineering and data teams to identify key data sources, define feature requirements, and align data standards across organizations.
• Design, implement, and maintain data lakes, databases, and ETL/ELT pipelines (Snowflake, Databricks, SQL, Python).
• Integrate, clean, and align simulation, measurement, and operational data for scalable AI/ML model development.
• Conduct exploratory data analysis, dimensionality reduction, clustering, and regression to extract insights.
• Develop and validate ML models using tree-based methods and Bayesian Optimization for tuning.
• Apply signal processing and data augmentation techniques to improve data quality and coverage.
• Document data lineage, feature definitions, and modeling rationale for reproducibility and transparency.
• Communicate insights and recommendations to stakeholders, influencing data-driven decisions across R&D and product teams.

Conocimientos

Python

SQL

ML modeling

Data exploration

Educación

Master's or PhD in Data Science, CS, EE, Statistics

Herramientas

Snowflake

Databricks

SQL

C++

Descripción del empleo

Keysight is seeking an Applied Data Scientist to design and deploy large-scale data architectures and ML models by integrating simulation and measurement data across domains. You will build robust data pipelines and collaborate with engineering and product teams to drive AI-enabled engineering tools.

The role emphasizes data exploration, feature engineering, and producing actionable insights for R&D initiatives.