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Data Analyst Data Scientist Jobs in Santa Rosa, CA

Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long ... Analyze financial and operational data to identify ways to capture and report on trends, variances ...

... Data Scientist / Agentic AI Engineer to join a collaborative research team focused on aging ... This role will help develop innovative AI-enabled systems for organizing, harmonizing, analyzing ...

Game Science & Insights team, to explore, analyze, report, and action on data from our portfolio of titles (WWE 2K, PGA TOUR 2K). We're looking for someone who can translate product & business ...

Game Science & Insights team, to explore, analyze, report, and action on data from our portfolio of titles (WWE 2K, PGA TOUR 2K). We're looking for someone who can translate product & business ...

Senior Data Analyst

Sonoma, CA · On-site

$96K - $121K/yr

Perform Critical Data Analysis for a Broad Range of Stakeholders : Build analytics, and ... You have Bachelors degree in Math, Science, Engineering, or another data intensive field of study ...

New

Senior Data Analyst

Santa Rosa, CA · On-site

$94K - $118K/yr

Perform Critical Data Analysis for a Broad Range of Stakeholders : Build analytics, and ... You have Bachelors degree in Math, Science, Engineering, or another data intensive field of study ...

New

The Role The Data Science team at Block turns insights from our unique datasets into actions that ... Own end-to-end execution across the stack - analysis, pipeline, ETL, experimentation, and ...

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Showing results 1-20

Data Analyst Data Scientist information

See Santa Rosa, CA salary details

$50.3K

$180.4K

$266.2K

How much do data analyst data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data analyst data scientist in Santa Rosa, CA is $180,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,000.00 and $185,900.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst Data Scientist vs Data Engineer?

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

Can you go from a data analyst to a data scientist?

Yes, transitioning from a data analyst to a data scientist is common and often involves gaining advanced skills in machine learning, statistical modeling, and programming languages like Python or R. Many data scientists have backgrounds in data analysis but expand their expertise through additional training, certifications, or advanced degrees such as a master's in data science or related fields.

Can a data scientist work as a data analyst?

A data scientist can often work as a data analyst since both roles involve analyzing data, but data scientists typically have more advanced skills in machine learning, statistical modeling, and programming. Transitioning may require gaining experience with tools like SQL, Excel, and visualization software, and understanding business context. The roles can overlap, but data scientists usually handle more complex data modeling tasks than data analysts.

What are the key skills and qualifications needed to thrive as a data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.
What cities near Santa Rosa, CA are hiring for Data Analyst Data Scientist jobs? Cities near Santa Rosa, CA with the most Data Analyst Data Scientist job openings:
Infographic showing various Data Analyst Data Scientist job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $180,419 per year, or $86.7 per hour.

$117K - $196K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

49th of 156 rated electronics manufacturers


Job description

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 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.

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.

As an Applied Data Scientist, you’ll operate at the intersection of data engineering, data science, and machine learning. You’ll design and implement large-scale data architectures, develop robust data pipelines, and build high-quality ML models that integrate simulation and measurement data from diverse domains.


Your work will directly influence Keysight’s advanced R&D initiatives, from algorithm development to AI-assisted engineering tools.


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.


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.

Desired Qualifications

  • Experience in data architecture design, schema governance, or cross-team data standards.

  • Knowledge of MLOps principles for productionizing models and maintaining pipelines.

  • Experience with metadata management and feature store design.

  • Prior exposure to environments combining simulation and real-world measurement data.

Careers Privacy Statement
Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

The level of role and salary will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.

California Pay Range: MIN $117,750- MAX $196,250

Colorado Pay Range:  MIN $109,030 - MAX $181,720

Note: For other locations, pay ranges will vary by region.

US Employees may be eligible for the following benefits:

- Medical, dental and vision

- Health Savings Account

- Health Care and Dependent Care Flexible Spending Accounts

- Life, Accident, Disability insurance

- Business Travel Accident and Business Travel Health

- 401(k) Plan

- Flexible Time Off, Paid Holidays

- Paid Family Leave

- Discounts, Perks

- Tuition Reimbursement

- Adoption Assistance

- ESPP (Employee Stock Purchase Plan)

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.

Desired Qualifications

  • Experience in data architecture design, schema governance, or cross-team data standards.

  • Knowledge of MLOps principles for productionizing models and maintaining pipelines.

  • Experience with metadata management and feature store design.

  • Prior exposure to environments combining simulation and real-world measurement data.

Careers Privacy Statement
Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

The level of role and salary will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.

California Pay Range: MIN $117,750- MAX $196,250

Colorado Pay Range:  MIN $109,030 - MAX $181,720

Note: For other locations, pay ranges will vary by region.

US Employees may be eligible for the following benefits:

- Medical, dental and vision

- Health Savings Account

- Health Care and Dependent Care Flexible Spending Accounts

- Life, Accident, Disability insurance

- Business Travel Accident and Business Travel Health

- 401(k) Plan

- Flexible Time Off, Paid Holidays

- Paid Family Leave

- Discounts, Perks

- Tuition Reimbursement

- Adoption Assistance

- ESPP (Employee Stock Purchase Plan)

Education:UNAVAILABLEEmployment Type: UNAVAILABLE

What Keysight Technologies employees say

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