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

Develop and implement advanced data science models, including deep learning, machine learning ... Experience in data visualization using Tableau, Power BI, or R/Python. * Experience in working with ...

D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a ... visualization and dashboarding tools (e.g., Tableau, Apache Superset, Databricks) to present ...

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 ...

Design high-impact data visualization assets that democratize data access and enable self-service ... Science, or Economics). * Technical Mastery: Advanced proficiency in Python and SQL. Hands-on ...

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 ...

Design high-impact data visualization assets that democratize data access and enable self-service ... Science, or Economics). * Technical Mastery: Advanced proficiency in Python and SQL. Hands-on ...

Data Analyst

Austin, TX · On-site

$70K - $100K/yr

The Data Analyst will provide data analysis, reporting, and visualization support to the Statistics & Data Science team across post-market surveillance, manufacturing, R&D, and clinical data sources.

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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 Jun 25, 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 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 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:
Senior Data Scientist

Senior Data Scientist

Visa

Austin, TX

$145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Visa rating

8.8

Company rating: 8.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

4th of 18 rated payment service providers


Job description

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.

Job Description

Sr. Data Scientists at the Consultant / Manager level are responsible for developing advanced data science models and leading technical project teams. The role requires hands-on experience with large-scale data sets, building scalable models, and applying machine learning and statistical techniques to solve business problems. The position involves collaborating with cross-functional teams, translating analytics output into actionable recommendations, and communicating complex concepts to diverse audiences.
All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.

At this time, we are unable to provide employment sponsorship. Candidates must be legally authorized to work in the United States now and in the future without the need for sponsorship.


Key Responsibilities:

  • Develop and implement advanced data science models, including deep learning, machine learning, recommendation systems, and generative models.
  • Lead and provide direction to technical data science teams, ensuring high-quality and rigorous project outcomes.
  • Collaborate with cross-functional teams (product, engineering, marketing) to gather requirements and deliver scalable solutions.
  • Translate analytics output into actionable business recommendations and communicate results to senior business audiences.
  • Manage end-to-end data science projects, including planning, organizing, and delivering results with diverse teams.
  • Work with real-world, large-scale data sets to build and deploy scalable models.
  • Utilize modern distributed systems and data science tools (e.g., Hadoop, Hive/SQL, Apache Spark, TensorFlow, PyTorch, scikit-learn).
  • Ensure reproducibility and quality in analytic pipelines and project deliverables.

Visarequiresat least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

At this time, we are unable to provide employment sponsorship. Candidates must be legally authorized to work in the United States now and in the future without the need for sponsorship.

Basic Qualifications:

  • 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.

Preferred Qualifications:

  • 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
  • 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
  • Experience in developing advanced data science models and applying machine learning techniques to business problems.
  • Experience in managing data science projects from scoping to delivery.
  • Experience in extracting and aggregating data from large data sets using SQL or other tools.
  • Experience in creating reproducible analytic pipelines.
  • Experience in data visualization using Tableau, Power BI, or R/Python.
  • Experience in working with modern distributed systems, including Hadoop, Hive/SQL, and Apache Spark.
  • Experience in collaborating with cross-functional teams to deliver scalable solutions.
  • Experience in communicating complex technical concepts to business audiences.
  • Experience in leading project teams and providing technical direction.
  • Extensive experience working in the data science, data engineering, or analytics profession.
  • Hands-on experience working with extremely large data sets and building scalable models.
  • Expertise in multiple programming languages (e.g., Python, R, Spark).
  • Experience working in global organizations and collaborating with stakeholders across geographies.
  • Previous exposure to financial services or payments industry is a plus but not mandatory.

U.S. Applicants Only

The estimated salary range for this positionis $145,300.00 to $ 232,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer

Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

Visa logo

About Visa

Sourced by ZipRecruiter

Visa is a global leader in digital payments, facilitating over 215 billion transactions annually across more than 200 countries and territories. Our mission is to connect the world through an innovative, reliable, and secure payments network, empowering individuals, businesses, and economies to thrive. When you become a part of Visa, you join a purpose-driven culture that values growth, embraces diversity, and recognizes the significance of your contributions. We believe in creating inclusive economies that uplift everyone, everywhere. Your work at Visa will directly impact billions of people worldwide, enabling access to financial services and shaping the future of money movement.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1958