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Data Science Visualization Jobs in Texas (NOW HIRING)

Organize and present information using data visualization techniques * Develop and suggest ... MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data ...

Data Science & Machine Learning: * Strong foundation in mathematics, statistics, and machine ... Experience with data visualization tools (D3.js, Bokeh, Plotly, or similar) * Domain Knowledge:

Organize and present information using data visualization techniques * Develop and suggest ... MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data ...

At least 2 yrs of relevant experience in Data Science SKILLS * SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains ...

... Science, Business Analytics, or a related technical field * 4+ years of experience, preferably within financial services * Strong experience with data analysis, modeling, and visualization tools

... Science, Business Analytics, or a related technical field * 4+ years of experience, preferably within financial services * Strong experience with data analysis, modeling, and visualization tools

... Science, Business Analytics, or a related technical field * 4+ years of experience, preferably within financial services * Strong experience with data analysis, modeling, and visualization tools

... Science, Business Analytics, or a related technical field * 4+ years of experience, preferably within financial services * Strong experience with data analysis, modeling, and visualization tools

... visualization flow - Expertise in optimizing distributed machine learning in a heterogeneous domain environment - Experience managing data science teams across multiple projects Do you have what it ...

... Science, Business Analytics, or a related technical field • 4+ years of experience, preferably within financial services • Strong experience with data analysis, modeling, and visualization tools ...

... visualization flow - Expertise in optimizing distributed machine learning in a heterogeneous domain environment - Experience managing data science teams across multiple projects Do you have what it ...

In this role, you will leverage statistical analysis, machine learning, and data visualization ... Stay up-to-date with the latest data science techniques, tools, and best practices. Qualifications ...

About the role Build, validate, deploy, and maintain Data Science and Optimization models ... Develop data validation and visualization dashboards to lead model validation and adoptions ...

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Roles & Responsibilities 6+ years of experience in Machine Learning and Data Science. • Strong ... data visualization tools such as Matplotlib, Seaborn, or Tableau. • Familiarity with cloud ...

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Data Science Visualization information

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 Texas look for? The top searched job categories for Data Science Visualization jobs in Texas are:
What cities in Texas are hiring for Data Science Visualization jobs? Cities in Texas with the most Data Science Visualization job openings:
Data Scientist

Full-time

Posted 3 days ago


Job description

About the Data Scientist position

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions.

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required.

Data Scientist responsibilities are:
  • Research and detect valuable data sources and automate collection processes

  • Perform preprocessing of structured and unstructured data

  • Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON)

  • Review large amounts of information to discover trends and patterns

  • Create predictive models and machine-learning algorithms

  • Modify and combine different models through ensemble modeling

  • Organize and present information using data visualization techniques

  • Develop and suggest solutions and strategies to business challenges

  • Work together with engineering and product development teams

Data Scientist requirements are:
  • 3+ years' experience of working on Data Scientist or Data Analyst position

  • Significant experience in data mining, machine-learning and operations research

  • Experience with data modeling, design patterns, building highly scalable and secured solutions preferred

  • Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines

  • Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC)

  • Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset

  • MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred
  • Must be a U.S. Citizen
Employment Type: FULL_TIME