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

... visualization Will the candidate be client facing and/or working with business users? Yes What is the team size, make up, culture, soft skills, and dress code, Hours? The data scientist role will ...

Bachelor's degree in Data Analytics, Data Science, Information Systems or related fields. * Any Tableau or data visualization professional certifications are a plus.

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Reporting and Visualization : Create comprehensive reports and dashboards using data visualization ... Bachelors degree in Data Science, Statistics, Mathematics, Engineering, or a related field.

Leads cross functional teams including AI engineers, data scientists, data visualization engineers etc. to transform data into actionable insights * Develop data architectures that enable efficient ...

Sr. Data Analyst Snowflake

Houston, TX · On-site

$82K - $103K/yr

Collaborate with business analysts, data scientists, and other stakeholders to understand business ... Experience with data visualization tools (e.g., Tableau, Power BI). * Knowledge of cloud platforms ...

Manager, Senior Product

Spring, TX · On-site +1

$116K - $153K/yr

The SPM collaborates closely with data engineering, data science, visualization, and business teams to deliver scalable analytics solutions, ensures stakeholders are equipped to leverage data ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Proficiency in Tableau or other data visualization tools. Educational Requirements: * Bachelor's degree in Data Engineering, Data Science, Data Management, Information Systems or related fields.

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Data Science Visualization information

See Houston, TX salary details

$51.6K

$104.5K

$154.2K

How much do data science visualization jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data science visualization in Houston, TX is $104,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $117,500.00 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 are popular job titles related to Data Science Visualization jobs in Houston, TX? For Data Science Visualization jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Houston, TX look for? The top searched job categories for Data Science Visualization jobs in Houston, TX are:
What cities near Houston, TX are hiring for Data Science Visualization jobs? Cities near Houston, TX with the most Data Science Visualization job openings:
Infographic showing various Data Science Visualization job openings in Houston, TX as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $104,522 per year, or $50.3 per hour.
Lead Data Scientist

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

CompanyFederal Reserve Bank of DallasWe are dedicated to serving the public by promoting a strong financial system and a healthy economy for all. These efforts take a team of dedicated individuals doing many different jobs. Together we're creating a workplace where Aptos talented people can thrive, and we welcome your unique background and perspective to help present the best possible solutions for our partners.
Location: #LI-Onsite. If you need assistance or a reasonable accommodation, please notify your Talent Acquisition Consultant.

About the Role:

The Federal Reserve Bank of Dallas is looking for a versatile Lead Data Scientist to work within the Banking Supervision, Surveillance and Policy Analysis team. As the Lead Data Scientist, you will be responsible for developing, maintaining, and automating regular financial and economic analysis of banking conditions, and guiding a team of data scientists and risk specialists. You will collaborate closely with cross-functional teams, including banking supervision, research, and integrated policy stakeholders, to develop and implement data-driven strategies and solutions. Your expertise will help shape our data science vision and drive impactful insights and innovations. This position will serve as a technical leader for a group of Data Scientists and will produce regular monitoring reports and implement analytics solutions.

You Will:

  • Develop and maintain Tableau dashboards that inform senior leadership about emerging banking risks and supervisory activities

  • Write quarterly risk reports and ad hoc analyses that explain the development of top and watch risks for Eleventh District banks to senior leadership and the public

  • Clean, validate, and analyze financial datasets to support fundamental research as well as the development of internal surveillance and risk models that inform banking supervision decisions.

  • Lead or participate in creating briefing material and original analysis.

  • Confer with Federal Reserve personnel and banking industry contacts to gather information and determine the relevant topics to include when briefing senior Bank management.

  • Prepare semi-annual briefings and discussion topics for Community Depository Institution Advisory Council leadership, FRB Dallas Advisory Council members, and quarterly banking perspectives for senior Reserve Bank executives.

  • Participate in meetings with Reserve Bank management to discuss developing policy issues, findings, and recommendations.

  • Ensure written documents that summarize and communicate policy findings to BSR and FRB Dallas senior management, the Board of Governors and other regulatory agencies comply with System and district standards, policies, and procedures.

  • Work with the Supervisory Policy team to monitor developments in Fintech, Energy, and in the Mexican economy which may prompt a supervisory policy response.

  • Monitor industry news, Federal Register notices of proposed rulemaking, and economic data reports, recommending actions to be taken where appropriate.

  • Ensure expertise is maintained by participating in system and industry conferences, discussions, and training.

  • Ensure that Reserve Bank management and appropriate business lines affected by policy developments are aware of the risks and changes in the risk and how such changes affect all business lines and entities supervised.

You Have:

  • Bachelor's degree in finance, accounting, or related field.

  • Advanced degree and/or professional certification preferred.

  • Minimum 5 years of banking, financial, regulatory, or related experience in specialty area, including at least 3 years in a technical leadership role. Proven track record of successfully leading data science projects.

  • Strong knowledge of operations, applicable laws and regulations, and relevant supervisory guidance for specialty area.

  • Excellent communication and analytical skills.

  • Ability to handle difficult or challenging conversations and to provide critical feedback.

  • Ability to communicate effectively with a variety of stakeholders, including senior staff at the Reserve Bank, Board of Governors, and banking organizations.

  • Proficiency in modern statistical and general-purpose programming languages. Preference given towards Python and R.

  • Expertise in data analysis, machine learning, and statistical modeling required. Experience with data visualization tools and big data technologies such as Tableau, Quarto, SQL/SAS/Hadoop, or Starburst.

  • Strong knowledge of bank accounting principles and familiarity with bank financial reporting data (Call Report, Y-9, Y-14, etc.).

  • Equivalent education and/or experience may be substituted for any of the above requirements.

Our Benefits:

Our total rewards program offers benefits that are the best fit for you at every stage of your career:

  • Comprehensive healthcare options (Medical, Dental, and Vision)

  • 401K match, and a fully funded pension plan

  • Paid vacation, holidays, and volunteer hours; flexible work environment

  • Generously subsidized public transportation and free parking

  • Annual tuition reimbursement

  • Professional development programs, training and conferences

  • And more...

Notes:

This position may be filled at various levels based on candidate's qualifications as determined by the department.

This position has a preference to be filled in Dallas, Texas; however, we are also open to candidates who will work out of the Houston or San Antonio office.

This position requires access to confidential supervisory information and/or FOMC information, which is limited to "Protected Individuals" as defined in the U.S. federal immigration law. Protected Individuals include, but are not limited to, U.S. citizens, U.S. nationals, and U.S. permanent residents who either are not yet eligible to apply for naturalization or who have applied for naturalization within the requisitetimeframe. Candidates who are permanent residents may be eligible for the information accessrequiredfor this position if they sign a declaration of intent to become a U.S. citizen and pursue a path to citizenship and meet other eligibility requirements. In addition, all candidates must undergo an enhanced background check andcomply withall applicable information handling rules.

The Federal Reserve Bank of Dallas is proud to be an Equal Opportunity Employer and is committed to ensuring equal employment opportunity to all applicants.

If you need assistance or an accommodation due to a disability, please notify your Talent Acquisition Consultant.

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryData Analytics Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

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