1

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

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 ...

Data Scientist under general supervision will perform data engineering, data modeling and model ... visualization tools. Experience writing code in Python, R, Scala, and distributed computing ...

Demographic Data Scientist

Austin, TX · On-site

$85 - $110/hr

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

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

... and visualization ecosystem. The position owns experimentation, business analytics, and data to ... What You'll Bring * BS in computer science, statistics, mathematics, operations research, or ...

... and visualization ecosystem. The position owns experimentation, business analytics, and data to ... What You'll Bring * BS in computer science, statistics, mathematics, operations research, or ...

Data Scientist

Austin, TX · On-site

$160K - $200K/yr

... a data science role, ideally with engineering, simulation, or scientific/experimental data ... Experience with data visualization/dashboarding tools (Power BI or similar). What Will Put You ...

We are looking for a Data Analyst who thinks like a scientist. You won't just be building ... Visualization: Tableau / Looker * Transformation: dbt * Environment: Dockerized development, Git ...

We are looking for a Data Analyst who thinks like a scientist. You won't just be building ... Visualization: Tableau / Looker * Transformation: dbt * Environment: Dockerized development, Git ...

Entry Level Data Analyst

Austin, TX · On-site

$70 - $95/hr

We are looking for a Data Analyst who thinks like a scientist. You won't just be building ... Visualization: Tableau / Looker * Transformation: dbt * Environment: Dockerized development, Git ...

We are looking for a Data Analyst who thinks like a scientist. You won't just be building ... Visualization: Tableau / Looker * Transformation: dbt * Environment: Dockerized development, Git ...

Data Analyst

Austin, TX · On-site

$77K - $114K/yr

Zynga's Data Science and Analytics team uses our unique and expansive data to model and predict ... Develop clear narratives from data using visualization tools that capture VIP engagement & health ...

Showing results 41-60

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 Aug 24, 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.

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 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:

Data Scientist

MedReview

Austin, TX • On-site

Full-time

Re-posted 9 days ago


Job description

Position Summary: 
MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models. This position will sit in Austin, Texas. However, for the right fit, we may consider remote
Responsibilities:
  • Problem Identification: Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
  • Data Collection & Preparation: Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
  • Model Development: Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
  • Exploratory Data Analysis (EDA): Analyze datasets to uncover hidden patterns, trends, and anomalies.
  • Communication & Visualization: Translate technical findings into "data stories" using tools like Tableau or Power BI to influence executive decisions. 
Qualifications: 
  • Master’s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
  • Programming: Proficiency in Python or R  along with SQL for database querying.
  • Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling.
  • Machine Learning: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
Soft Skills: Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences. Experience working with global and remote teams

Powered by JazzHR

WlyC1tysjt