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

Guidehouse

Epidemiologist Data Scientist

Houston, TX · On-site

Masters degree in Data Science, Epidemiology, Public Health, Biostatistics, or STEM related field. * TWO (2) or more years material experience in health data science and epidemiology, including deep ...

Bwpipelines

Lead Analyst Data Engineer

Houston, TX · On-site

Bachelor's degree in Computer Science, Data Science, Engineering, or related field PREFERRED EDUCATION * Masters Degree ADDITIONAL INFORMATION Boardwalk Pipelines, LP, maintains a drug‑free ...

bwp

Lead Analyst Data Engineer

Houston, TX · On-site

Bachelor's degree in Computer Science, Data Science, Engineering, or related field PREFERRED EDUCATION: * Masters Degree ADDITIONAL INFORMATION: Boardwalk Pipelines, LP, maintains a drug-free ...

Hp

HP Z Boost Pilot Manager

Spring, TX · On-site

$116K - $182K/yr

Identify and target customers for our portfolio of AI and Data science SaaS solutions * Develop and ... Bachelor's degree in marketing, business administration, computer science, or a related field * MBA ...

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All JobsMasters Data Science JobsMasters Data Science Jobs in Houston, TX

Masters Data Science information

What is the difference between Masters Data Science vs Data Analyst?

CriteriaMasters Data ScienceData Analyst
Required CredentialsMaster's degree in Data Science, Computer Science, or related fieldBachelor's degree in Statistics, Mathematics, or related field
Work EnvironmentResearch-focused, developing models, algorithms, and advanced analyticsData cleaning, reporting, and visualization for business insights
Employer & Industry UsageTech companies, research institutions, large enterprisesBusiness, finance, marketing, healthcare sectors
Common Search & Comparison IntentUnderstanding advanced data roles, qualifications, and skillsEntry-level data roles, daily tasks, and career path

Masters Data Science professionals typically have advanced degrees and focus on developing complex models and algorithms, often in research or technical environments. Data Analysts usually hold bachelor's degrees and concentrate on interpreting data, creating reports, and supporting business decisions. Both roles are essential in data-driven industries but differ in scope, skills, and responsibilities.

Is a master's in data science worth it?

A master's in data science can enhance job prospects for data scientists by providing advanced skills in programming, statistics, and machine learning, which are highly valued in the field. It often leads to higher salaries and more senior roles, but practical experience and certifications like Python or R are also important for success.

What can I do with a master's in data science?

A master's in data science prepares individuals for roles such as data scientist, data analyst, machine learning engineer, or data engineer. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

Where can I work with a master's in data science?

A master's in data science qualifies individuals for roles such as data scientist, data analyst, machine learning engineer, and data engineer across various industries including technology, finance, healthcare, and consulting. These positions often require skills in programming, statistical analysis, and data visualization, and are available in both corporate and research environments.
Masters Data Science jobs near you
Infographic showing various Masters Data Science job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

AI Data Science Expert - Remote

Houston, TX • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$100 - $200/hr

Part-time

Posted 29 days ago

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.