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Data Science Visualization Jobs in California (NOW HIRING)

Deloitte

Data Scientist

San Diego, CA · On-site

... visualization and presentations. • Stay up to date with the latest trends and technologies in data science and machine learning. • Ability to work independently and collaborate as part of a team ...

New

Deloitte

Data Scientist

Fresno, CA · On-site

... visualization and presentations. • Stay up to date with the latest trends and technologies in data science and machine learning. • Ability to work independently and collaborate as part of a team ...

New

Deloitte

Data Scientist

San Jose, CA · On-site

... visualization and presentations. • Stay up to date with the latest trends and technologies in data science and machine learning. • Ability to work independently and collaborate as part of a team ...

New

Deloitte

Data Scientist

Inglewood, CA · On-site

... visualization and presentations. • Stay up to date with the latest trends and technologies in data science and machine learning. • Ability to work independently and collaborate as part of a team ...

New

Mayvin, Inc

Data Scientist III

San Diego, CA

They leverage data-oriented programming languages, statistical methods, and visualization tools to ... Minimum of 10 years of professional experience in data science Preferred Qualifications

Mayvin

Data Scientist III

San Diego, CA · On-site

$125.28K - $207.11K/yr

They leverage data-oriented programming languages, statistical methods, and visualization tools to ... Minimum of 10 years of professional experience in data science Preferred Qualifications

Cedars Sinai

Research Data Scientist

West Hollywood, CA · On-site

$94.80K - $161K/yr

... visualization techniques to lead the development, evaluation, and application of algorithms ... Create sustainable data science infrastructure and adheres to data analysis/machine learning best ...

Roku

Senior Data Scientist

San Jose, CA · Hybrid

$179.90K - $212.30K/yr

... and other visualization platforms. * Develop necessary data pipelines to power automation ... Collaborate with stakeholders to align data science initiatives with organizational goals and ...

Cedars Sinai

Research Data Scientist

West Hollywood, CA

$94.80K - $161K/yr

... visualization techniques to lead the development, evaluation, and application of algorithms ... Create sustainable data science infrastructure and adheres to data analysis/machine learning best ...

BeeGenius

Data Scientist

Los Angeles, CA · On-site

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ... of data visualization tools and techniques • Excellent communication and presentation skills ...

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Data Science Visualization information

What are the key skills and qualifications needed to thrive as a Data Science Visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

How does a Data Science Visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.

What is Data Science Visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

What are popular job titles related to Data Science Visualization jobs in California? For Data Science Visualization jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in California look for? The top searched job categories for Data Science Visualization jobs in California are:
What cities in California are hiring for Data Science Visualization jobs? Cities in California with the most Data Science Visualization job openings:
Data Science Visualization jobs near you
Infographic showing various Data Science Visualization job openings in California as of May 2026, with employment types broken down into 11% Internship, 78% Full Time, and 11% Temporary. Highlights an 74% In-person, 5% Hybrid, and 21% Remote job distribution.

Data Scientist / Senior Data Scientist

Relentless Health, Inc.

Menlo Park, CA • On-site

$160K - $225K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 26 days ago

Job description

About Diagnose Early
Diagnose Early is making non-invasive breath testing a mainstream technology. Our mission right now is to use toxin testing and fitness monitoring to help our users detect health risks early. Our long-term vision is to use the data we collect to diagnose health conditions early.
To achieve this, we have assembled a truly world-class team that brings together technical expertise, academic excellence, medical knowledge, and business acumen. The team is working to achieve the best outcomes for all our users and to deliver our mission and vision.
For more Information, visit https://www.diagnoseearly.com.
Position Details
Position Title: Data Scientist / Senior Data Scientist
Department: Data Science, Technology group
FLSA Status: Exempt
Location: Menlo Park, CA
Salary Range: $160K - $225K
Reports to: CTO
Scope of Job
Job Summary:
This role will be at the forefront of our AI-driven initiatives, working with a diverse team of experts in biology, bioinformatics, and machine learning. The responsibilities include developing and implementing innovative data analysis pipelines, predictive models, and visualization tools that will contribute to the understanding of complex and varied health datasets. These efforts will support the delivery of data products to our users in order to improve their health outcomes. The role requires working collaboratively with cross-functional teams to extract valuable insights and translate them into actionable knowledge. The candidate requires a proven track record of applying AI and machine learning techniques, ideally to healthcare datasets. They must have excellent problem-solving skills and ability to think creatively, as well as strong communication skills to collaborate with multidisciplinary teams.
Essential Functions
To include, but are not limited to the following:
  • Data Science
    • Work closely with our scientists to understand complex, biological and healthcare datasets and apply this domain-specific knowledge to transform raw data into suitable formats for downstream analysis.
    • Clean, preprocess, and curate diverse biological datasets, ensuring data quality and integrity.
    • Engineer appropriate datasets to support the development and deployment of data products, some of which are based on machine / deep learning models.
  • Engineering
    • Build high quality custom software to support any activities across the various technology groups.
  • Communication
    • Communicate insights, results, and analyses to stakeholders using advanced visualization techniques.
  • Research
    • Contribute to interdisciplinary discussions to guide experimental design and data collection.

QUALIFICATIONS GUIDELINES
To include, but are not limited to the following:
  • A 4-year degree in a quantitative field such as statistics, math, computer science, physics, or engineering from an accredited college or university.
  • 4+ years proven experience in a data science or quantitative analysis role.
  • Demonstrable proficiency in handling and processing big data sets from various sources, including, SQL, relational DBMS and cloud services.
  • High proficiency in Python. Solid experience with other languages, such as R and Julia is a bonus.
  • Extensive experience in applied statistics and machine/deep learning methods.
  • The ability to speak and write fluent English.
  • Experience with healthcare data and the regulatory environment associated with the application of AI is a bonus.

Physical Requirements: standing, sitting, walking, stairs, light lifting, computer operation.
Diagnose Early is an equal opportunity employer. Diagnose Early offers a competitive compensation package including medical/dental, 401K, paid time off, holidays, and equity.

Apply