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Masters Data Science Jobs in Phoenix, AZ (NOW HIRING)

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Data Scientist II

Phoenix, AZ ยท On-site

$140K - $150K/yr

This role owns generative AI and data science initiatives end to end within the environmental ... Masters degree

... Masters in Engineering, Math, Computer Science, Econometrics, Statistics, Operational Research, or equivalent analytical or technical fields that use large data and statistics Preferred : โ€ข ...

... Masters in Computer Science, Finance, Accounting, Economics, Statistics or operational research โ€ข 6+ years of experience in analytics and/or business intelligence space Preferred : โ€ข Strong ...

Sr. Data Analyst

Tempe, AZ ยท On-site

$115K - $145K/yr

Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business analysis, and/or statistical analysis; or relevant Master's Degree / MBA with 2+ years of experience ...

Sr. Data Analyst

Tempe, AZ ยท On-site +1

$115K - $145K/yr

Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business analysis, and/or statistical analysis; or relevant Master's Degree / MBA with 2+ years of experience ...

Sr. Data Analyst

Tempe, AZ ยท On-site +1

Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business analysis, and/or statistical analysis; or relevant Master's Degree / MBA with 2+ years of experience ...

Business Data Director

Tempe, AZ ยท Hybrid

$165K - $210K/yr

Bachelors degree required; preferably in Data Science or Finance or Business/Economics * Masters of Business Admin preferred * 12+ years of Banking experience * 8+ years of Finance, Risk, data ...

Product Data Director

Tempe, AZ ยท Hybrid

$173K - $216K/yr

Bachelors degree required; preferably in Data Science or Finance * Masters of Business Admin preferred * 12+ years of Finance/Banking experience * 8+ years data, analytics and/or reporting experience ...

Data Engineer II (ICP)

Scottsdale, AZ ยท Hybrid

$115K - $138K/yr

Masters Computer Science or related field Preferred EXPERIENCE * 2 years, Data Lake House or Enterprise Data Required * 2 years, Database development (Python, SQL, PL/SQL, Bash) Required * 2 years ...

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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.

What cities near Phoenix, AZ are hiring for Masters Data Science jobs?

Cities near Phoenix, AZ with the most Masters Data Science job openings:

Infographic showing various Masters Data Science job openings in Phoenix, AZ 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

Phoenix, AZ โ€ข Remote

$100 - $200/hr

Part-time

Re-posted 2 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.