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Data Science Jobs in Georgetown, TX (NOW HIRING)

Senior Advisor, Data Science

Round Rock, TX ยท On-site

$140 - $190/hr

Senior Advisor, Data Science Data Science Senior Advisor (Taxonomy, Ontology, and Governance) Data Science is all about breaking new ground to enable businesses to answer their most urgent questions.

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of ...

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of ...

DATA SCIENTIST

Austin, TX ยท On-site

$100 - $150/hr

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of ...

Data Scientist

Austin, TX ยท On-site +1

Lead the execution of assigned AI, machine learning, or data science workstreams from methodology through delivery. * Contribute to product decisions and help shape the ideation, design, and ...

Data Science and Analytics team leadership. Manage data analysts delivering dashboards, recurring reports, and ad-hoc analysis. Establish consistent standards for data science and analytics ...

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

We're looking for a data science leader who is energised by GTM problems and motivated to make Sales and CS smarter through data. You'll be at your best if you've spent time in or close to a B2B SaaS ...

Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements * Identify key business questions and ...

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

Data Scientist

Austin, TX ยท On-site +1

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

Data Scientist

Austin, TX ยท On-site +1

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

Senior Data Scientist

Austin, TX ยท On-site

$180 - $240/hr

Schwab's AI & Data Science organization helps shape the future of client and employee experiences through advanced analytics, machine learning, and generative AI. As a Senior AI & Data Scientist, you ...

Senior Data Scientist

Austin, TX ยท On-site

$155K - $200K/yr

Schwab's AI & Data Science organization helps shape the future of client and employee experiences through advanced analytics, machine learning, and generative AI. As a Senior AI & Data Scientist, you ...

Schwab's AI & Data Science organization helps shape the future of client and employee experiences through advanced analytics, machine learning, and generative AI. As a Senior AI & Data Scientist, you ...

Showing results 21-40

Data Science information

See Georgetown, TX salary details

$34.8K

$114K

$182.6K

How much do data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data science in Georgetown, TX is $114,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $126,400.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the most commonly searched types of Data Science jobs in Georgetown, TX?

The most popular types of Data Science jobs in Georgetown, TX are:

What job categories do people searching Data Science jobs in Georgetown, TX look for?

The top searched job categories for Data Science jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Data Science jobs?

Cities near Georgetown, TX with the most Data Science job openings:

Infographic showing various Data Science job openings in Georgetown, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,039 per year, or $54.8 per hour.

Senior Advisor, Data Science

Dell GmbH

Round Rock, TX โ€ข On-site

$140 - $190/hr

Other

Posted 5 days ago


Key responsibilities

  • Define and govern taxonomies and ontologies for knowledge content to maximize findability and support business outcomes

  • Design and execute governance processes to align multiple stakeholders across the organization

  • Collaborate with internal and external teams to understand stakeholder requirements and develop sustainable taxonomy and ontology structures


Job description

Senior Advisor, Data Science Data Science Senior Advisor (Taxonomy, Ontology, and Governance)

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What's more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Join us to do the best work of your career and make a profound social impact as a Data Science Senior Advisor (Taxonomy, Ontology, and Governance) on our Digital Digital Solutioning Enablement Team in Round Rock, Tx.

What you'll achieve

As a Data Science Senior Advisor, you will be responsible for contributing to business strategy by defining and governing taxonomies and ontologies for our extensive knowledge content (articles, videos, manuals, etc.)The optimal taxonomical and ontological structure of our knowledge content will maximize findability and deliver on our critical business outcome:enabling customer self-service success.You will also design governance processes and execute them to align multiple stakeholders across the organization.

You will:
  • Work during US time zones to collaborate with internal and external teams to understand stakeholder requirements.
  • Develop and apply a broad range of techniques and theories from taxonomy, ontology, and business intelligence to deliver actionable business insights.
  • Consult with knowledge content owners and stakeholders to understand context.
  • Develop sustainable taxonomy and ontology governance to ensure a coherent, sustainable environment for our knowledge content.
  • Be part of a team that prioritizes work-life balance.
  • Leverage AI tools wherever it makes sense.
Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role as a Data Science Senior Advisor, Taxonomy, Ontology, and Governance:

Essential Requirements:
  • Minimum 5 years' experience in taxonomy and ontology management and governance in a large organization
  • Experience researching, identifying, and documenting taxonomy and ontology requirements, as well as enforcing standards, agreements, and charters.
  • Familiar with relevant W3C standards (SKOS, OWL, SHACL, SPARQL, etc.)
  • Working understanding of semantic ontologies.
  • Working understanding of AI and LLMs
Desirable Requirements:
  • A degree in Computer Science, Data Science, Linguistics, Machine Learning, or Library Sciences (Master Librarian)
  • Experience working with Graph databases, taxonomies, and Natural Language Processing strategies (NLP) for optimization, knowledge of Taxonomy and Ontology Management Systems tools like GraphWise PoolParty, TopQuadrant Edge, Ontotext GraphDB, Knowledge Graphs experience
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