1

Senior Data Science Insurance Jobs in California

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

S. Citizenship with an active or interim Secret clearanceBachelor's degree in Data Science ... senior technical roleSecurity+ CertificationProven experience with:Python, R, SQL, and Spark for ...

Senior Data Scientist

San Mateo, CA · On-site

$170K - $210K/yr

Senior Data Scientist, Marketing and Personalization San Mateo, CA, United States (Hybrid) At ... Work on data science projects across marketing and customer domains, including personalization ...

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred) * 10+ years of professional experience in data science and leadership or senior ...

Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and ... Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering * Working ...

Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and ... Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering * Working ...

Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and ... Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering * Working ...

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred) * 10+ years of professional experience in data science and leadership or senior ...

Sr Data Science & Analytics

Alameda, CA · On-site

$46.23 - $72.23/hr

Data Scientists building predictive and AI models * Product Analysts measuring customer behavior and product performance * Analytics engineers and platform specialists (likely indirectly) * Vendor ...

Located in Waterloo, this full-time Senior Data Scientist opportunity is with an innovative ... You'll have the chance to work alongside subject matter experts, tackle difficult data science ...

Senior Data Scientist, Risk

Palo Alto, CA · On-site

$185K - $225K/yr

Senior Data Scientist, Risk Location: Palo Alto, CA Employment Type: Full time Location Type ... Drive strategic data science initiatives that directly impact business outcomes, working closely ...

Showing results 21-40

Senior Data Science Insurance information

What is the difference between Senior Data Science Insurance vs Data Analyst Insurance?

AspectSenior Data Science InsuranceData Analyst Insurance
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learningBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentAdvanced analytics teams, cross-functional projects, predictive modelingReporting, data cleaning, basic analysis, dashboards
Employer & Industry UsageInsurance companies, financial services, risk assessmentInsurance firms, brokers, claims departments

Senior Data Science Insurance roles focus on developing predictive models and advanced analytics, requiring higher technical skills and experience. Data Analysts typically handle data reporting and basic analysis. Both roles are vital in insurance but differ in complexity and responsibilities.

What are the most commonly searched types of Data Science Insurance jobs in California?

The most popular types of Data Science Insurance jobs in California are:

What cities in California are hiring for Senior Data Science Insurance jobs?

Cities in California with the most Senior Data Science Insurance job openings:

Infographic showing various Senior Data Science Insurance job openings in California as of September 2026, with employment types broken down into 84% Full Time, 3% Part Time, and 13% Contract. Highlights an 92% In-person, 3% Hybrid, and 5% Remote job distribution.

Senior Data Scientist

San Diego, CA • On-site

Kros-Wise
Manufacturing • 51 - 200 employees

$160K - $200K/yr

Full-time

Re-posted 29 days ago


Job description

We are seeking a highly experienced Senior Data Scientist to lead advanced analytics, machine learning model development, and data-driven decision support within a Department of Defense (DoD) program environment. This role involves architecting and deploying end-to-end data solutions that enhance operational effectiveness, readiness forecasting, and mission-critical insights for Navy enterprise systems.Key ResponsibilitiesDesign, develop, and deploy predictive models, natural language processing (NLP), and optimization algorithmsLead data ingestion, cleaning, transformation, and exploratory analysis from diverse structured and unstructured data sourcesCreate interactive dashboards and visualizations to communicate analytical findings to technical and non-technical audiencesCollaborate with cross-functional teams including software engineers, data engineers, and subject matter expertsTranslate mission needs into analytical frameworks, model requirements, and implementation strategiesValidate and tune models for performance, explainability, and operational relevanceAuthor technical reports, white papers, and decision briefings for stakeholders and senior leadershipMinimum QualificationsU.S. Citizenship with an active or interim Secret clearanceBachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred)10+ years of professional experience in data science and leadership or senior technical roleSecurity+ CertificationProven experience with:Python, R, SQL, and Spark for data analysis and modelingMachine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoostData visualization tools like Power BI, Tableau, or PlotlyCloud platforms (AWS, Azure, or Google Cloud) and MLOps workflowsExperience working with DoD or federal data systems, including handling controlled unclassified information (CUI)Additional Preferred QualificationsExperience developing AI/ML solutions in support of Navy or defense logistics, sustainment, or readiness analyticsFamiliarity with DoD data governance, data labeling, and ethical AI guidelinesStrong understanding of model operationalization, A/B testing, and production monitoringKnowledge of data engineering concepts including ETL pipelines, data lakes, and data mesh architecturesAgile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner)Ability to mentor junior data scientists and lead cross-disciplinary technical teams