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Data Science Visualization Jobs in California (NOW HIRING)

Maxonic, Inc.

Data Scientist

Santa Clara, CA · On-site

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

Booz Allen Hamilton

Junior Data Scientist

San Diego, CA · On-site

$61K - $141K/yr

... visualization tools such as Power BI, Tableau, or Qlik * Secret clearance * Bachelor's degree in an Analytical or Engineering field such as CS, Data Science, Computer Engineering, or Systems ...

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

$125K - $207K/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

Sunrise Systems, Inc.

Senior Data Scientist

San Ramon, CA · On-site

$100 - $105/hr

Data Visualization & Executive Presentations * Cloud Technologies (AWS/Azure) * Utility Industry Experience (Preferred) Job Summary: Seeking an experienced Senior Data Scientist to develop and deploy ...

NextDeavor Inc.

Data Scientist

San Francisco, CA

$90.14 - $112.68/hr

Experience with data visualization tools (preferably Tableau and Power BI) * Bachelor's degree in a quantitative field (Computer Science, Math/Statistics, Economics, Physics) or equivalent practical ...

NextDeavor Inc.

Data Scientist

San Francisco, CA · On-site

$90.14 - $112.68/hr

Experience with data visualization tools (preferably Tableau and Power BI) * Bachelor's degree in a quantitative field (Computer Science, Math/Statistics, Economics, Physics) or equivalent practical ...

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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.
Data Scientist

Data Scientist

Structure Therapeutics

South San Francisco, CA • On-site

Full-time

Re-posted 13 days ago

Job description

Job Summary:
Structure Therapeutics develops life‐changing medicines for patients using advanced structure‐based and computational drug discovery technology. We are seeking a highly motivated Data Scientist with strong software engineering skills to join the Biometrics and Data Management group, focusing on developing novel data science tools to support evolving business needs and improve patient outcomes.
Responsibilities:
• Enhance the existing platforms by contributing to the development, validation, deployment, and ongoing maintenance.
• Develop and validate data science tools for clinical research, and trial optimization.
• Ensure the scalability, maintainability, and reliability of analytical solutions through software engineering best practices (e.g., testing, documentation, CI/CD pipeline).
Qualifications:
Required:
• Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field.
• Minimum of 10 years of Data Science experience with a Bachelor’s degree, 8 years with a Master’s, or 4 years with a Ph.D., including at least 3 years of hands-on experience developing production-grade software in programming languages such as Python or R.
• Demonstrated understanding of software architecture, performance optimization and validation.
• Strong expertise in Machine Learning and Deep Learning techniques (e.g., Scikit-learn, TensorFlow, or PyTorch).
• Familiar with data visualization tools such as ggplot2. Plotly, Matplotlib or Seaborn.
• Strong analytical thinking and problem-solving skills.
• Experienced with Github.
Preferred:
• Master’s or Ph.D degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.
• Experience with cloud-computing platforms (AWS, GCP, or Azure) and containerization (e.g., Docker).
• Experience with creating Large Language Models (LLMs) and GenAI based solution in production environment.
• Experienced in designing and implementing CI/CD pipelines.
Company:
Structure Therapeutics specializes in the discovery and development of drugs against a type of targets called GPCR. Founded in 2016, the company is headquartered in South San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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