Applied Data Scientist: Build Scalable ML & Data Pipelines

Keysight Technologies; Santa Rosa (CA); On-site; USD 117,750 - 196,250; Full time

Benefits offered by this job

Medical, dental and vision

Health Savings Account

401(k) Plan

Flexible Time Off

Job summary

Keysight Technologies in Santa Rosa, CA, is seeking an Applied Data Scientist to design large-scale data architectures, build robust pipelines, and develop ML models that integrate simulation and measurement data.

You’ll partner with engineers and data teams across R&D to turn data into actionable insights, with opportunities to work on AI-assisted engineering tools and state-of-the-art analytics in a global technology leader.

Qualifications

• 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.

Responsibilities

• 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 (e.g., PCA), clustering, and regression to extract insights.
• Develop and validate ML models using tree‑based methods (XGBoost, LightGBM, Random Forests) 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.

Skills

Python

SQL

C++

Pandas

NumPy

Scikit-learn

Snowflake

Databricks

Bayesian optimization

Tree models

Education

Master’s or PhD

Tools

Snowflake

Databricks

Job description

Keysight Technologies in Santa Rosa, CA, is seeking an Applied Data Scientist to design large-scale data architectures, build robust pipelines, and develop ML models that integrate simulation and measurement data.

You’ll partner with engineers and data teams across R&D to turn data into actionable insights, with opportunities to work on AI-assisted engineering tools and state-of-the-art analytics in a global technology leader.