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Data Visualization Researcher Jobs in California

Data Scientist, Mid

San Diego, CA ยท On-site

$77K - $176K/yr

Across private and public sectors, from fraud detection to cancer research, to national ... Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * Experience with ...

This team applies their passion for data visualization in 2D and 3D to help bring foundational ... Research and analyze customer requests, industry standards, and specifications to establish and ...

Across private and public sectors, from fraud detection to cancer research, to national ... Knowledge of predictive data models, quantitative analyses, or visualization of targeted data ...

Across private and public sectors, from fraud detection to cancer research, to national ... Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * Experience with ...

Showing results 21-40

Data Visualization Researcher information

What does a data visualization researcher do?

A Data Visualization Researcher studies and develops effective ways to represent complex data visually, such as through charts, graphs, and interactive dashboards. Their goal is to make data easier to understand and interpret, enabling better decision-making. This involves researching new visualization techniques, evaluating their effectiveness, and often collaborating with data scientists, designers, and subject matter experts. They may also work on creating tools or frameworks that help others visualize data more effectively.

What are the key skills and qualifications needed to thrive as a data visualization researcher?

To thrive as a Data Visualization Researcher, you need expertise in data analysis, statistics, and visual design principles, often supported by a degree in data science, computer science, or a related field. Proficiency with visualization tools such as Tableau, D3.js, Python (matplotlib, seaborn), and knowledge of user experience (UX) research methods are typically required. Strong communication, creativity, and attention to detail help researchers convey complex data insights clearly and effectively to diverse audiences. These skills ensure that data-driven stories are both accurate and accessible, driving informed decision-making and impactful research outcomes.

What are the main challenges data visualization researchers face when collaborating with multidisciplinary teams?

Data Visualization Researchers often work closely with data scientists, subject matter experts, and software engineers, which can present challenges in translating complex data findings into visual formats that are both accurate and accessible. Bridging the gap between technical data analysis and clear visual storytelling requires strong communication skills and the ability to understand diverse perspectives. Additionally, balancing user experience with data integrity and adapting visualizations for different audiences are common hurdles. Effective collaboration and openness to feedback are essential for overcoming these challenges and producing impactful visual solutions.

What cities in California are hiring for Data Visualization Researcher jobs?

Cities in California with the most Data Visualization Researcher job openings:

Infographic showing various Data Visualization Researcher job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Scientist V- #26-21251

Menlo Park, CA โ€ข On-site

US Tech Solutions
IT Servicesย โ€ขย 1 - 5K employees

$70 - $150/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

$70-$150 per hour

Menlo Park, CA

Contract

6 months - potential extensions

Job Summary:

We are seeking a highly skilled Data Scientist with 10 years of industry experience to join our team. The successful candidate will have a strong background in data analysis, statistical modeling, and data visualization, as well as excellent communication skills.

Key Responsibilities:
  • Data Analysis: Perform exploratory data analysis (EDA) to identify trends, patterns, and correlations; apply statistical and quantitative tools or techniques; interpret data and formulate deep-level insights.
  • Setting Goals and Success Metrics: Collaborate with stakeholders to define business objectives and key results (OKRs); define success metrics that measure short and long-term progress towards OKRs.
  • Visualization: Design visualizations that provide a clear narrative understanding as well as deep dive capabilities; develop high-performance reports and dashboards.
  • Storytelling Through Data: Develop compelling narratives to communicate data insights for technical and non-technical audiences; utilize various relevant tools and techniques to effectively present data; provide recommendations based on analytical findings and insights, with prioritization of actions and estimated impact.
  • Modeling: Develop and implement predictive and forecasting models using multiple techniques such as regression, clustering, classification, and more; evaluate and refine models based on performance metrics; generate actionable insights from model output.
  • Research and Experiment: Formulate multiple hypotheses that are tied together to answer business questions; develop a comprehensive research plan that identifies appropriate data collection tools, techniques, or methods to be used for a specific research problem; conduct research with appropriate methods to answer the research questions or test hypotheses.
Requirements:
  • 10 years of industry experience solving analytical problems using quantitative approaches, including defining metrics and goals, monitoring key metrics, understanding root causes of changes in metrics, and exploratory analysis to Client new opportunities.
  • 10 years of industry experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R).
  • Strong background in data analysis, statistical modeling, and data visualization.
  • Excellent communication skills, with the ability to present complex data insights to both technical and non-technical audiences.

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com .

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.

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US Tech Solutions logo

About US Tech Solutions

Sourced by ZipRecruiter

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Jersey City, NJ, US

Year founded

2000

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