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Data Science Visualization Jobs in California (NOW HIRING)

Booz Allen Hamilton

Data Scientist, Mid

San Diego, CA · On-site

... data visualization tools, such as Power BI, Tableau, or Qlik • TS/SCI clearance • Bachelor's degree in an Analytical or Engineering field, such as Computer Science, Data Science, Computer ...

United IT

Data Science-Analyst

San Diego, CA

Data Science-Analyst Location: San Diego CA / MTV CA (5 Days working) Qualifications: * 8+ years of ... Expertise in data visualization tools (e.g., Tableau, Qlik). * Experience with Python or R for ...

VBeyond

Senior Data Scientist

Los Angeles, CA

... data science techniques including statistical analysis machine learning and data visualization to extract meaningful insights Collaborate with crossfunctional teams to understand business ...

Omnicom Media US

Director, Data Science

Los Angeles, CA · On-site

$140K - $170K/yr

... visualization, and performance measurement Required Skills And Qualifications * 6+ years of ... Experience managing data scientists and end-to-end analytics projects * Direct exposure to client ...

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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, Mid

Data Scientist, Mid

Booz Allen Hamilton

San Diego, CA • On-site

Full-time

Posted 4 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

8th of 57 rated business consultants

Job description

Job Summary:
Booz Allen Hamilton is a company focused on leveraging data science to solve global challenges. They are seeking a Mid Data Scientist to analyze complex data sets, develop algorithms, and provide insights to clients across various sectors including fraud detection and cancer research.
Responsibilities:
• Unlock the secrets held by a data set and explore the possibilities of IoT, machine learning, and artificial intelligence.
• Use analytical skills and data science knowledge to create real-world impact.
• Work closely with clients to understand their questions and needs and analyze data-rich environments to find information.
• Develop algorithms and systems to turn disparate data points into objective answers.
• Provide a deep understanding of the data, its implications, and usability.
Qualifications:
Required:
• 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
• 2+ years of experience with statistical and general-purpose programming languages for data analysis
• Experience analyzing structured and unstructured data sources
• Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
• Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
• Knowledge of text mining or machine learning techniques
• Secret clearance
• Bachelor’s degree
Preferred:
• 2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
• 2+ years of experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
• 2+ years of experience with Machine Learning, AI, or NLP
• Experience with Palantir Foundry
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2
• Experience with Business Intelligence (BI) or data visualization tools, such as Power BI, Tableau, or Qlik
• TS/SCI clearance
• Bachelor's degree in an Analytical or Engineering field, such as Computer Science, Data Science, Computer Engineering, or Systems Engineering preferred; Master's degree in an Analytical or Engineering field, such as Computer Science, Data Science, Business Analytics, Computer Engineering, or Systems Engineering a plus
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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