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Data Science Visualization Jobs in Santa Clara, CA

Covalent Corp.

Data Scientist

Sunnyvale, CA · On-site

$110K - $190K/yr

... science and data-driven software systems. This role is in our software organization and ... Exploratory data analysis, statistical reasoning, and visualization * Writing code to process ...

Covalent

Data Scientist

Sunnyvale, CA · On-site

$110 - $190/hr

... science and data-driven software systems. This role is in our software organization and ... Exploratory data analysis, statistical reasoning, and visualization * Writing code to process ...

Cypress HCM

Data Scientist

San Jose, CA

$105.63/hr

The Express Growth Data Science team is looking for a dynamic and versatile data scientist to drive ... Experience with one or more data visualization tools such as Tableau or Power BI * Experience with ...

Namely

Senior Data Scientist

Mountain View, CA · On-site

$120 - $160/hr

Demonstrated expertise in BI, data science, and deployment of AI/ML models in business environments. * 6+ years of hands‑on experience in data analysis, engineering, and visualization. * 2+ years ...

New

Crusoe

Senior Data Scientist

Sunnyvale, CA · On-site

... central Data Science and Engineering team. This full-time position offers you the unique ... Data Visualization Proficiency: Familiarity with data visualization tools (e.g., Tableau, Power BI ...

Crusoe

Senior Data Scientist

Sunnyvale, CA · On-site

... central Data Science and Engineering team. This full-time position offers you the unique ... Data Visualization Proficiency: Familiarity with data visualization tools (e.g., Tableau, Power BI ...

Crusoe

Senior Data Scientist

Sunnyvale, CA · On-site

$166 - $200/hr

... central Data Science and Engineering team. This full‑time position offers you the unique ... Data Visualization Proficiency: Familiarity with data visualization tools (Tableau, Power BI ...

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Showing results 21-40

All JobsData Science Visualization JobsData Science Visualization Jobs in Santa Clara, CA

Data Science Visualization information

See Santa Clara, CA salary details

$63.4K

$128.5K

$189.7K

How much do data science visualization jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science visualization in Santa Clara, CA is $128,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $144,500.00 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 Santa Clara, CA? For Data Science Visualization jobs in Santa Clara, CA, the most frequently searched job titles are:
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Data Science Visualization jobs near you

Senior Manager, Infrastructure Data Science

Databricks

Mountain View, CA • On-site

$129K - $175K/yr

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of their infrastructure through data science. This role involves leading a team of data scientists to address complex challenges in capacity planning, performance optimization, and reliability engineering, while promoting a data-driven approach to infrastructure decisions.
Responsibilities:
• Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness.
• Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies.
• Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity.
• Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance.
• Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality.
• Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions.
Qualifications:
Required:
• 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies
• 5+ years of management experience hiring and developing teams
• Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment
• Knowledge of statistics and rigorous analytical techniques
• Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies
• Leadership skills and experience to lead across functional and organizational lines
• Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team
• Bias to action and passion for delivering high-quality data solutions
• A passion for problem-solving and comfort with ambiguity
• MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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