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Data Science Visualization Jobs in California (NOW HIRING)

Roku

Senior Data Scientist

San Jose, CA · Hybrid

$179K - $212K/yr

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

Jj

Data Science Lead

Milpitas, CA · On-site +1

$148K - $168K/yr

Data Science Lead Job Code: A011.4794 Job Location: Milpitas, CA Job Type: Full-Time Rate of Pay ... Data reporting and visualization software/tools. This job posting is anticipated to close on 8/24 ...

Maxonic, Inc.

Data Scientist

Santa Clara, CA · On-site

... data science or a related field. * Strong proficiency in Python programming language. * Experience with data analysis and visualization tools (e.g., Pandas/Polars, NumPy, Matplotlib, Seaborn)

Ignite Digital

Mid Data Scientist

San Diego, CA

Stay current with emerging data science methodologies, tools, and industry best practices * Ensure ... Familiarity with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn) Schedule ...

Johnson and Johnson

Data Science Lead

Milpitas, CA · On-site

$148K - $168K/yr

Data Science Lead Job Code: A011.4794 Job Location: Milpitas, CA Job Type: Full-Time Rate of Pay ... Data reporting and visualization software/tools. This job posting is anticipated to close on 8/24 ...

Booz Allen Hamilton

Data Scientist

Monterey, CA

$77K - $176K/yr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining ...

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Data Science Visualization information

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 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.

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.

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 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 July 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.
Senior Data Scientist

Senior Data Scientist

Roku

San Jose, CA • Hybrid

$179K - $212K/yr

Other

Medical, Life, PTO

Posted 7 days ago

Job description

About the team

As a Senior Data Scientist at Roku, you will leverage Big Data to generate insights that fuel Roku's most significant business decisions. As a Senior Data Scientist, you will also use a combination of technical skills, business intuition, and analytical thinking to partner with business leaders and provide actionable recommendations. Senior Data Scientists at Roku are thought partners to executive business leaders, so communication and presentation are enormously important. Senior Data Scientists do not take direction from business owners and execute ad-hoc questions. You will proactively identify the areas of the data and business that require attention and formulate analyses, insights, and recommendations based on an excellent command of the needs. The Senior Data Scientist role at Roku is a perfect fit for anyone who wants to continue to evolve business domain expertise alongside technical and analytical development.  

About the role

Roku is looking for a Senior Data scientist to join the Core Analytics team supporting the Roku TV team. As a Senior Data Scientist, you will bring strong technical experience retrieving, manipulating, analyzing, and visualizing data.  Just as importantly, you will bring excellent communication skills, proven collaboration track record, and business acumen.  

The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can help drive initiatives with internal stakeholders. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs.

This role is hybrid and located in San Jose, CA.  Employees are expected to report to the office Monday - Thursday.

For California Only - The estimated annual salary for this position is between $179,900 - $212,300 annually.
Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.
This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you'll be doing
  • Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for device hardware and software health.
  • Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions.
  • Develop data visualizations that illustrate complex platform phenomena using Looker, Tableau, and other visualization platforms.
  • Develop necessary data pipelines to power automation, validation and reporting.
  • Use creativity to find proxies where verbatim data or measurement is unavailable.
  • Collaborate with stakeholders to align data science initiatives with organizational goals and strategy.
  • Design and execute A/B tests to enhance the streaming experience for customers.
  • Stay updated with the latest trends and technologies in data science, including the use of artificial intelligence, to drive innovation.
We're excited if you have
  • 5+ years of relevant experience in data analytics, data science or business intelligence role. Previous experience in product analytics is preferred.
  • Excellent command of SQL and experience working with Big Data.
  • Experience coding in Python or R.
  • Hands-on experience with data visualization platform like Tableau, Looker, or similar.
  • Statistics knowledge like A/B experimentation and statistical inference.
  • Innate drive towards action in resolving issues and operate in a high-energy, fast-paced environment.
  • Self-driven, highly motivated, and independent-minded individual who has a natural curiosity for understanding the data and the business.
  • Strong communication skills. Composes and communicates materials and information that is clear, concise, and appropriate to the intended audience.
  • Excellent investigative skills with a passion for finding the root cause of an issue.
  • The ability to work independently and across multiple time zones.
  • Ownership mindset. You own the end-to-end lifecycle of a product, starting from ideation and ending with post-launch performance tracking
  • Academic background in mathematics, statistics, physics, data science, computer science, or economics.

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