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Data Science Visualization Jobs in Los Angeles, CA

Omnicom

Data Science and Analytics_04

Los Angeles, CA · On-site

Data Science and Analytics The Marketing Science team is pivotal in the delivery of modern agency ... data visualization tools such as Datorama and Tableau On-going data QA to ensure data used for ...

Rule14

Data Scientist Machine Learning

Santa Monica, CA · On-site

$75K - $100K/yr

... science team focusing on predictive modeling, natural language processing, computer vision ... Strong skills in statistical analysis and data visualization * Critical thinking and effective ...

The Walt Disney Company

Data Analyst

Santa Monica, CA · On-site

Our teammastersexploratory data analysis, advanced reporting, data visualization, and storytelling ... Partner closely with business stakeholders (Product, Data Science, Business Operations, etc.) to ...

Omnicom

Data Science and Analytics_04

Burbank, CA · Hybrid

Hearts & Science Job Function: Strategy and Planning Job Subfunction: Research and Insights The ... data visualization tools such as Datorama and Tableau On-going data QA to ensure data used for ...

Ra

Data Scientist

Los Angeles, CA · On-site

You are powerful in data science, business reporting, and statistical analysis. * You are ... You are excellent in Data Visualization. * You are good in using Cognos and Business Objects. You ...

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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 Sep 3, 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.

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 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.

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, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $117,934 per year, or $56.7 per hour.

Data Science and Analytics_04

Omnicom

Los Angeles, CA • On-site

Full-time

Re-posted 21 days ago

Job description

Agency:
Omd
Job Function:
Data and Analytics
Job Subfunction:
Data Science and Analytics
Job Description:
The Marketing Science team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment teams to deliver on and exceed our clients' business goals.
Responsibilities
External facing responsibilities:
Executing the measurement plan
Production of campaign reports and analyses according to measurement plans
Development of dashboards in data visualization tools such as Datorama and Tableau
On-going data QA to ensure data used for reporting and analysis is accurate
Development of observations and actionable insights around campaign results
Data storytelling of results and analyses in presentation decks/slides
Presenting reports and proposals to clients during monthly and weekly phone calls
Internal facing responsibilities:
Partner with the Planning and Investment teams on annual budget setting, media plan development and ongoing budget / plan optimization.
Keep in front of industry trends and developments by engaging in training
Required Skills
Experience in integrated marketing related to media and/or customer journey development, including budgeting, revenue forecasting, ROI development
Expertise in audience-based marketing and data-driven advertising
Solution development: analytic skills, critical thinking and clarifying strategic & operational issues as relates to data and analytics. Problem-solving skills to drive issues to resolution.
Stellar communication skills
Comfortable working in ambiguous situations
Education and Experience
A university degree and 1+ years of data and analytics experience in advertising, management consulting, marketing or digital consulting
Knowledge of agency-side media campaign planning and execution process is desirable, but not requiredCalifornia: $40,000.00-$75,000.00
Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice
For US Job Seekers:
It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.

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