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Data Science Visualization Jobs in Austin, TX (NOW HIRING)

Collaborate with stakeholders to align data science initiatives with organizational goals and ... Hands-on experience with data visualization platform like Tableau, Looker, or similar * Statistics ...

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a ... Communication & Visualization: Translate technical findings into "data stories" using tools like ...

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a ... Communication & Visualization: Translate technical findings into "data stories" using tools like ...

Senior Data Analyst

Austin, TX · On-site +1

$86.70K - $109.30K/yr

Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science ... data visualization tool * 2 years experience in report development within Epic EMR using Slicer ...

Required Skills · Expert-level data science, data modeling, data pipeline skills. · Solid understanding of data management concepts - data processing, analytics, machine learning and visualization ...

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Showing results 1-20

Data Science Visualization information

See Austin, TX salary details

$53.5K

$108.5K

$160.1K

How much do data science visualization jobs pay per year?

As of May 31, 2026, the average yearly pay for data science visualization in Austin, TX is $108,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $121,900.00 per year, depending on experience, location, and employer.

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.

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 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 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 job categories do people searching Data Science Visualization jobs in Austin, TX look for? The top searched job categories for Data Science Visualization jobs in Austin, TX are:
What cities near Austin, TX are hiring for Data Science Visualization jobs? Cities near Austin, TX with the most Data Science Visualization job openings:
Infographic showing various Data Science Visualization job openings in Austin, TX as of May 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 88% Physical, 10% Hybrid, and 2% Remote job distribution, with an average salary of $108,488 per year, or $52.2 per hour.
Full Stack Data Scientist

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

RESPONSIBILITIES:
Kforce has a client in Austin, TX that is seeking a Full Stack Data Scientist to support a leading enterprise client in expanding their advanced analytics and AI capabilities.
Summary:
This role requires a hands-on, execution-focused professional who can independently deliver end-to-end data science solutions across multiple business initiatives.
The ideal candidate will operate across the full data lifecycle-from data ingestion and modeling to visualization and executive storytelling-while also contributing to emerging AI and Generative AI (GenAI) initiatives, including projects involving AI-assisted development (GitHub Copilot) and Agentic AI systems.
Responsibilities:
Execute end-to-end data science workflows, including:
* Data sourcing, extraction, and preparation across multiple enterprise systems
* Model development, evaluation, and interpretation
* Data visualization and dashboard creation
* Presentation of insights to leadership and executive stakeholders
Support both:
* Ongoing project-based data initiatives
* Ad hoc, executive-driven analytical requests requiring deep-dive analysis
* Develop scalable data solutions that drive business decision-making
Contribute to AI and GenAI product development efforts, including:
* Building and supporting GenAI-enabled solutions
* Leveraging AI-assisted coding tools (e.g., GitHub Copilot)
* Participating in workflows involving Agentic AI/autonomous systems
* Collaborate across technical and business teams to translate requirements into actionable data insights
REQUIREMENTS:
* Programming: Advanced proficiency in Python
* Data Querying: Strong SQL experience across large, complex datasets
* Data Visualization: Experience with Power BI, Qlik, or similar BI tools
Data Science Expertise:
* Data modeling, statistical analysis, and machine learning
* Data preparation and transformation techniques
* Model interpretation and communication
AI/GenAI Experience:
* Experience using AI-assisted development tools (e.g., GitHub Copilot)
* Exposure to or hands-on experience with Generative AI (LLMs, prompt design, or related solutions)
* Familiarity with Agentic AI concepts or automated AI-driven workflows
Data Environment Experience:
* Experience working across enterprise data platforms such as SQL Server, Databricks, or similar
* Ability to navigate and work with multiple, distributed data sources
Professional Skills:
* Strong communication and data storytelling abilities
* Ability to work independently in fast-paced, ambiguous environments
* Experience presenting insights to business and executive stakeholders
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.