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Data Science Visualization Jobs in California (NOW HIRING)

Asurion

Senior Director, Data Science

San Mateo, CA

Senior Director, Data Science Location: Bay Area preferred, optional: Nashville, TN or Sterling, VA ... Data Visualization: Presenting data through visual formats such as charts, graphs, maps, and ...

Walmart

Senior Manager, Data Science

Hayward, CA · On-site

$143K - $286K/yr

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning ... Influence strategic decisions through clear communication, visualization, and executive-level ...

Walmart

Senior Manager, Data Science

Cupertino, CA · On-site

$143K - $286K/yr

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning ... Influence strategic decisions through clear communication, visualization, and executive-level ...

Walmart

Senior Manager, Data Science

Milpitas, CA · On-site

$143K - $286K/yr

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning ... Influence strategic decisions through clear communication, visualization, and executive-level ...

Walmart

Senior Manager, Data Science

Sunnyvale, CA · On-site

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning ... Influence strategic decisions through clear communication, visualization, and executive-level ...

Walmart

Senior Manager, Data Science

Mountain View, CA · On-site

$143K - $286K/yr

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning ... Influence strategic decisions through clear communication, visualization, and executive-level ...

Walmart

Senior Manager, Data Science

San Jose, CA · On-site

$143K - $286K/yr

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning ... Influence strategic decisions through clear communication, visualization, and executive-level ...

Walmart

Senior Manager, Data Science

Sunnyvale, CA · On-site

$143K - $286K/yr

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning ... Influence strategic decisions through clear communication, visualization, and executive-level ...

Walmart

Senior Manager, Data Science

San Mateo, CA · On-site

$143K - $286K/yr

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning ... Influence strategic decisions through clear communication, visualization, and executive-level ...

Walmart

Senior Manager, Data Science

Fremont, CA · On-site

$143K - $286K/yr

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning ... Influence strategic decisions through clear communication, visualization, and executive-level ...

Uber

Data Science II, InsurTech

Sunnyvale, CA · On-site +1

**About the Role**We're looking for a data scientist to join our InsurTech Data Science team under ... Experience with dashboarding and data visualization tools such as Tableau, Looker or similar ...

Uber

Data Science II, InsurTech

San Francisco, CA · On-site +1

**About the Role**We're looking for a data scientist to join our InsurTech Data Science team under ... Experience with dashboarding and data visualization tools such as Tableau, Looker or similar ...

Allogene Therapeutics

MSAT Data Science Engineer

Newark, CA · On-site

$128K - $154K/yr

... organization, visualization and integration with data analysis tools. • Translate process ... Required : • Bachelor's degree in science or engineering (with a focus on computer science or ...

Booz Allen Hamilton

Data Scientist, Mid

San Diego, CA · On-site

$77K - $176K/yr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining ...

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All JobsData Science Visualization JobsData Science Visualization Jobs in California

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
Senior Director, Data Science

Senior Director, Data Science

Asurion

San Mateo, CA

Full-time

Posted 17 days ago

Asurion rating

7.1

Company rating: 7.1 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

125th of 206 rated it services

Job description

Senior Director, Data Science

Location: Bay Area preferred, optional: Nashville, TN or Sterling, VA

POSITION OVERVIEW

The Senior Director of Data Science leads enterprise data science strategy, delivery, and governance to drive measurable business impact. This role oversees teams building predictive, optimization, and generative models, partnering with cross-functional leaders to prioritize high-value use cases. The leader establishes enterprise best practices for model development, MLOps, and responsible AI, and ensures outcomes align with corporate goals, risk standards, and compliance. The role balances long-term platform investments with near-term initiatives, fosters talent development, and communicates complex insights clearly to executives. Success is measured by adoption, ROI, and operational reliability of data science solutions.

ESSENTIAL JOB SKILLS/DUTIES

  • Own enterprise data science strategy and multi-year roadmap.
  • Prioritize high-impact use cases with executive stakeholders.
  • Oversee model lifecycle, from discovery to productionization.
  • Establish enterprise level standards for MLOps and responsible AI governance.
  • Develop talent, structure teams, and manage budgets.
  • Communicate results and risks to senior leadership.

REQUIRED TECHNICAL SKILLS

  • Data Mining: Applying techniques to extract patterns, relationships, and insights from structured and unstructured data.
  • Data Modeling: Designing structured representations of data, including entities, relationships, and attributes, to support analysis and system design.
  • Data Visualization: Presenting data through visual formats such as charts, graphs, maps, and dashboards to communicate insights and trends.
  • Experimental Design: Designing and structuring experiments, including variable selection, control groups, and bias mitigation methods, to produce valid and reliable results.
  • Machine Learning: Developing and applying machine learning models, including deep learning approaches, to generate predictions and classifications.
  • Predictive Modeling: Building statistical and mathematical models using historical data to forecast outcomes and identify trends.
  • Business Intelligence Technologies: Using tools and platforms to collect, process, analyze, and display data through reporting and dashboard solutions.
  • Programming Languages: Writing and maintaining code to develop analytical models, scripts, and data-driven applications.
  • Mathematical Modeling: Creating mathematical representations of real-world problems to support analysis and predictive insights.
  • Generative Artificial Intelligence: Developing and applying generative models to create original outputs based on learned data patterns.

REQUIRED SOFT/LEADERSHIP SKILLS

  • Executive communication and storytelling with data.
  • Stakeholder influence and strong cross-functional relationship building.
  • Strategic planning and portfolio prioritization discipline.
  • People leadership, coaching, and succession planning.
  • Change management and adoption enablement.

REQUIRED EDUCATION & EXPERIENCE

  • Advanced degree in quantitative field or equivalent experience.
  • 12+ years in data science or advanced analytics.
  • 7+ years leading teams and complex programs.
  • Proven delivery of measurable business outcomes.

PREFERRED EDUCATION & EXPERIENCE

  • Masters in statistics, computer science, or related discipline.
  • Leadership experience in large, matrixed organizations.
  • Track record scaling platforms and reusable assets.

PREFERRED LICENSES/CERTIFICATIONS

  • Cloud certification in AWS, Azure, or Google Cloud.
  • Certification in ML or MLOps frameworks.
  • Responsible AI or model risk management accreditation.

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