1

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

... data visualization; actively improves skills and approaches Preferred : โ€ข Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Industrial & Organizational ...

Drive best practices in data science. * Ensure data quality and integrity in all processes ... Data Visualization : Skilled in using tools like Tableau, Looker, Power BI, or Python libraries ...

... using visualization and other means Make recommendations for new metrics, apply analytical ... No EDUCATION/CREDENTIALS Master's degree in health science-related discipline, public health ...

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 ...

Success in this role means being fluent in using statistics and visualization tools to answer ... Political Science), Computer Science, Engineering, Statistics, Geographic Information Systems ...

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 ...

Expert-level data science, data modeling, data pipeline skills. * Solid understanding of data management concepts - data processing, analytics, machine learning and visualization. * Experience with ...

next page

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 Jul 16, 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:

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX โ€ข Remote

Full-time

Posted 19 hours ago


Job description

(Fully-remote US position)
About LiftLab

Liftlab is the leading provider of science-driven software to optimize marketing spend and predict revenue for optimal spend levels. We call this the Science of Marketing Effectiveness. Our platform combines economic modeling with specialized media experimentation so brands and agencies can clearly see the tradeoffs of growth and profitability. With decades of experience in marketing analytics and data science, our team of industry experts and thought leaders is proud to enable leading and emerging brands such as Cinemark, Express, Hanna Anderson, Lulu & Georgia, Pandora, Sephora, Skims, Tory Burch, Thrive, and Vionic, with our cutting-edge solutions and strategic guidance.

Job responsibilities
  • Develop new algorithm-based features of LiftLab's marketing measurement and optimization platform

  • Performs diagnostics and root-cause analysis and provide fixes

  • Works with Data Science and Engineering to implement these features into LiftLabs product and workflow

Course work/experience:
  • Data manipulation

    • SQL

    • Operating on big datasets in Python

    • Data visualization

  • Mathematical optimization

    • Linear optimization concepts

    • Nonlinear continuous optimization

    • Linear algebra

  • Mathematical modeling

    • Using parametrized systems of equations to represent real-world systems

  • Statistics

    • Multivariate regression

    • Clear understanding of Maximum Likelihood estimation and computational methods to find MLE parameters

    • Bayesian concepts

    • Hypotheses testing

Education requirements

Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field. We will consider holders of Bachelor degrees with relevant experience

Skills/Aptitude
  • Engineering and detective mindset

    • Both to diagnose data and existing algorithms and to develop new analytics functionality

  • Pragmatic approach to real-world problems

  • Focus on problem solving over applying specific models

  • Willingness to make approximations and assumptions rather than find "the" optimal solution

  • Ability to combine multiple techniques and models to solve end-to end-problems

  • Communication and collaboration skill

  • Ability to convert non-technical requests intoย project specifications