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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 ...

Dlapiper

Data Scientist

Palo Alto, CA · On-site +1

Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing, predictive modeling, data visualization; and Big data tools: Hadoop, Azure ...

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 · On-site

$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 ...

Joby Aviation

Staff Data Scientist

Santa Cruz, CA · On-site

Strong background in data science, data analysis and visualization (algorithms, data structures, and architectures), probability, statistics, and predictive modeling * Strong background in Machine ...

Joby Aviation

Staff Data Scientist

Santa Cruz, CA

Strong background in data science, data analysis and visualization (algorithms, data structures, and architectures), probability, statistics, and predictive modeling * Strong background in Machine ...

Joby Aviation

Staff Data Scientist

Santa Cruz, CA · On-site

Strong background in data science, data analysis and visualization (algorithms, data structures, and architectures), probability, statistics, and predictive modeling * Strong background in Machine ...

Info Way Solutions

Data Scientist

Fremont, CA · On-site

... data visualization techniques. • Collaborate with cross-functional teams to integrate machine ... Required : • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a ...

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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 Sep 6, 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.

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 Santa Clara, CA?

For Data Science Visualization jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Data Science Visualization jobs in Santa Clara, CA look for?

The top searched job categories for Data Science Visualization jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Data Science Visualization jobs?

Cities near Santa Clara, CA with the most Data Science Visualization job openings:

Data Science Visualization jobs near you

Credit Strategy Data Scientist

5 Star Global Recruitment Partners

San Jose, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Credit Strategy Data Scientist

San Jose, California, United States

About the Job Credit Strategy Data Scientist

We are looking for a talented, enthusiastic and dedicated person to join the Credit Risk Strategy team. The incumbent will be responsible for leading key projects associated with credit risk assessment, data analysis and loss mitigation. This position requires a person who has experience performing analytics, refining risk strategies, and developing predictive algorithms preferably in the credit risk domain.

Key Job Functions

  • Design rules to detect/mitigate loss
  • Investigate novel/large cases
  • Identify root cause
  • Set strategy for different risk types
  • Work with product/engineering to improvement control capabilities
  • Develop and present strategies and guide execution
  • Drive results that maximize eligible customers while controlling losses

Professional Experience/Background to be Successful in This Role

  • Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry.
  • Bachelors degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience.
  • Experience using statistics and data science to solve complex business problems.
  • Proficiency in SQL, Python, Excel including key data science libraries.
  • Experience working with large datasets.
  • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau.
  • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes.
  • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact.
  • Desirable to have experience or aptitude solving problems related to risk using data science and analytics.
  • Bonus: Experience with AWS, payment rule systems, and knowledge of credit products.

Expected Outcome in 6-12 Months

  • Development of dashboard and visualizations to track KPI of credit strategies implemented
  • Work closely with team members and stakeholders to consult, design, develop, and manage credit trends and losses that not only solve emerging loss trends but also provide a great experience to end customers.
  • Utilize data analysis to design and implement credit strategies
  • Analyze and transform data using RaaS platforms to identify loss patterns and optimize the systems to flag these patterns
  • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven credit solutions that operate at scale and in real time for end customers.
  • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.

Preferred Skills

  • Data analytics
  • Rule development
  • Dashboard Creation
  • Project Management
  • Strong Communication

Notes from Hiring Manager

  • Interview process: Multiple (At home screening, 1 technical interview with senior team member, 1 interview panel with hiring manager and team member).
  • Team size: 5 team members, position will work closely with a senior team member at outset, role will largely focus on reporting, so experience with visualization and data storytelling is a plus.

Must Have

  • Bachelors degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience.
  • Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry.
  • Experience using statistics and data science to solve complex business problems.
  • Proficiency in SQL, Python, Excel including key data science libraries.
  • Experience working with large datasets.
  • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau.
  • Desirable to have experience or aptitude solving problems related to risk using data science and analytics.
  • Experience with AWS, payment rule systems, and knowledge of credit products.

Apply