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Data Science Visualization Jobs in Los Angeles, CA

1 point system

Data Science Engineer

Century City, CA · On-site

Incorporating the latest developments in Data Science (Generative, statistical modeling, machine learning, and advanced visualization) to solve complex business problems, they collaborate within a ...

Heluna Health

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

... visualization tools and techniques to convey analytical results effectively to leadership and business teams. * Develop and implement metrics and KPIs that measure the effectiveness of data science ...

Heluna Health

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

... visualization tools and techniques to convey analytical results effectively to leadership and business teams. * Develop and implement metrics and KPIs that measure the effectiveness of data science ...

Odesus

Manager of Data Science

Burbank, CA

$67.31/hr

Our Data Science team works very closely with Sales and Marketing, and in this position you will ... Visualization & Application Development * Build and maintain Tableau dashboards that monitor ...

Omnicom

Data Science and Analytics_05

Los Angeles, CA · On-site

Data Science and Analytics As an Associate Director on the Marketing Science Measurement and ... Build advanced dashboards in visualization tools such as PowerBI and Tableau. Contribute to the ...

Centerfield

Data Science Intern

Los Angeles, CA · On-site

Centerfield is looking for a curious, hands-on Data Science Intern to work alongside our Data ... Visualization: Experience building dashboards or visualizations to tell a story with data Intern ...

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 ...

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 ...

EVgo Services LLC

Data Scientist

Los Angeles, CA · On-site

$100.70 - $125.90/hr

You will work closely with the Data Science R&D team to report issues and improve our analytic ... Visualization - create and curate charts and graphics that reveal useful insights * Monitoring ...

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All JobsData Science Visualization JobsData Science Visualization Jobs in Los Angeles, CA

Data Science Visualization information

See Los Angeles, CA salary details

$58.2K

$117.9K

$174K

How much do data science visualization jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science visualization in Los Angeles, CA is $117,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $132,500.00 per year, depending on experience, location, and employer.

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 Los Angeles, CA? For Data Science Visualization jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Los Angeles, CA look for? The top searched job categories for Data Science Visualization jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Data Science Visualization jobs? Cities near Los Angeles, CA with the most Data Science Visualization job openings:
Data Science Visualization jobs near you
Infographic showing various Data Science Visualization job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,934 per year, or $56.7 per hour.

Data Science Engineer

1 point system

Century City, CA • On-site

Contractor

Re-posted 6 days ago

Job description

Must take a coderbyte test.
Must have excellent communication
 
Job Description:
Summary
The Data Scientist is a member of a highly motivated Tech team responsible for accelerating the creation of opportunity through the strategic use of data. Incorporating the latest developments in Data Science (Generative, statistical modeling, machine learning, and advanced visualization) to solve complex business problems, they collaborate within a forward-thinking team to drive operational efficiency and shape innovative solutions for critical use cases.
 
The work they are doing is a data conversion project where one team is building a new financial application and needs to migrate financial data from multiple legacy source systems into the new platform. The work is developing Python scripts for data extraction, transformation, and validation, performing end-to-end testing, reconciling data accuracy, and managing the cutover process to ensure a smooth transition to the new system. The conversion is from Dynamics AX to SAP
 
Responsibilities
Development of Data Science Solutions:

  • Test and prototype innovative algorithms leveraging technologies such as Generative AI, NLP, and Machine Learning models
  • Partner with engineering teams to develop technology infrastructure
  • Build and refine models to maintain optimal performance and relevance

Collaboration and Communication

  • Work closely with cross-functional team to align data science initiatives with business priorities
  • Partner with leadership to identify and prioritize high-impact opportunities for data science applications
  • Present insights and recommendations through clear visualizations tailored for audiences across different roles and expertise levels

Data Wrangling:

  • Identify data sources that can be useful to answer business questions
  • Perform experiments on ingested data to evaluate quality and integrity
  • Build data pipelines for ongoing data extraction

Data Exploration and Visualization:

  • Use advanced visualization techniques to present data insights in a compelling way
  • Apply advanced analytics to create metrics and KPIs that summarize insights from data

Data Analysis:

  • Apply advanced statistical methods for classification and prediction, including machine learning methods
  • Document processes and analysis, using reproducible methods and scripts
  • Provide advice to the business on strengths and limitations of statistical results, to avoid misuse

 
Required Capabilities

  • Minimum 3 years working in a Data Science role
  • Bachelor’s degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or Business
  • Master’s Degree in relevant discipline preferred
  • Hands-on experience with Generative AI models, including fine-tuning, deployment, and evaluation
  • Proficiency in using Python, R, or similar mathematical programming languages for advanced predictive modeling and visualization. Python expertise preferred
  • Proficiency in using SQL and modern Database management
  • Experience with Spark or similar distributed computing platforms
  • Experience with Deep Learning methods and applications (Keras, Torch, TensorFlow) preferred
  • Experience with Natural Language Processing methods and applications preferred
  • Experience successfully implementing analytical solutions with real-world business impact
  • Excellent analytical and problem-solving skills
  • Demonstrated initiative and ownership of tasks and projects
  • Ability to prioritize, coordinate, and complete tasks to meet deadlines
  • Ability to work effectively both independently and in team environments
  • Ability to present complex problems in simple terms