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Data Scientist Jobs in Santa Rosa, CA (NOW HIRING)

Applied Data Scientist

Santa Rosa, CA · On-site

$117K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Summary The Data Scientist in Technical Operations (TOPS) plays a critical role in advancing BioMarin's end-to-end product lifecycle by delivering high value Data/AI Solutions across Technical ...

Applied Data Scientist

Santa Rosa, CA · On-site

$117K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Applied Data Scientist

Santa Rosa, CA · On-site

$117K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

AI Data Scientist-Furman lab

Novato, CA · On-site

$60K - $75K/yr

  • Medical

  • Retirement

  • PTO

Position Summary The Buck Institute for Research on Aging is seeking an exceptional, highly motivated AI Data Scientist / Agentic AI Engineer to join a collaborative research team focused on aging ...

The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. You must ...

The Role The Data Science team at Block turns insights from our unique datasets into actions that improve the customer experience every day. In this role, we're looking for a Data Scientist to own ...

Data Scientist information

See Santa Rosa, CA salary details

$41K

$134.2K

$214.8K

How much do data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data scientist in Santa Rosa, CA is $134,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $148,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

What are the most commonly searched types of Data Scientist jobs in Santa Rosa, CA?

The most popular types of Data Scientist jobs in Santa Rosa, CA are:

What job categories do people searching Data Scientist jobs in Santa Rosa, CA look for?

The top searched job categories for Data Scientist jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for Data Scientist jobs?

Cities near Santa Rosa, CA with the most Data Scientist job openings:

Infographic showing various Data Scientist job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $134,194 per year, or $64.5 per hour.

Applied Data Scientist

Keysight Technologies, Inc.

Santa Rosa, CA • On-site

$117K - $196K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

50th of 159 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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